Data Scientist Jobs At Pfizer

Nestlé Information Technology is the digital arm of the world's largest nutrition, health, and wellness company. With 150+ years in business, 2,000+ brands, and 270,000+ diverse team members-you're joining an organization that's revolutionizing food and championing global humanitarian efforts with technology at its core. Joining Nestlé IT means you'll never stop learning and sharpening new skills. Tools, technologies, and innovation for the next generation of food is part of it. Working with team members from different cultures and corners of the world on truly meaningful initiatives is what makes our work inspiring. Think beyond technology. Feel like you belong. Join a Force for Good. This position is not eligible for Visa Sponsorship. POSITION SUMMARY: Join Nestlé USA as an Enterprise Analytics Expert Data Scientist and be at the forefront of innovation! In this role, you will combine business insights with cutting-edge data science, driving impactful analytics initiatives across our organization. As an advanced analytics expert, you will collaborate closely with various business functions to identify opportunities and create robust use cases. You will design, enhance, and implement sophisticated predictive algorithms that not only foster profitable growth but also enable insightful diagnostic evaluations, strategic predictive planning, and informed prescriptive decision-making. Together, we will transform everyday challenges into data-driven solutions that propel our enterprise forward. Lead the development, evaluation, and deployment of models to enhance operational decision-making in commercial analytics, including sales, marketing, and eCommerce. Implement machine learning predictive models as well as causal inference regression models across diverse business use cases, integrating the latest data science advancements into Nestlé USA's solutions. Experience with complex, enterprise cloud computing environments and managing automating jobs, creating resources, deploying packages, and navigating security protocols in cloud computing environments. Deeply understand business challenges and translate them into mathematical models with actionable results that drive business value. Serve as an internal consultant, collaborating with business functions to identify opportunities, define problems, conduct data analysis, and create self-service solutions with minimal oversight. Analyze results, draw conclusions, and present findings with actionable recommendations to cross-functional teams and leadership. Mentor junior staff, guide predictive model development, define customer usage of models, and train users on integration. Lead the execution of AI and next-generation solutions, facilitating rapid piloting to meet business needs. Proficient in object-oriented programming in Python, including classes, objects, and inheritance for modular code. Experienced in deploying, monitoring, and maintaining machine learning solutions in a production environment. Engage in the evaluation, design, and integration strategy across multiple commercial functions and data sources for various Nestlé businesses. Requirements Bachelor's Degree in Computer Science, Engineering, Mathematics, Statistics, Business or a similar field from an accredited college or university 5+ years of hands on data science experience developing and deploying machine learning models and algorithms to address business priorities 3+ years of experience developing with Python/PySpark to automate tasks, manipulate data, and build production-level data science solutions 3+ years of experience managing stakeholders, maintaining relationships, presenting to senior executives, and communicating high-level technical concepts in clear, colloquial, action-oriented language 2+ years of experience working in MLOPs and cloud computing environments with familiarity of best practices for deploying, monitoring, and maintaining solutions 2+ years of experience mentoring/ coaching junior peers and teammates The approximate pay range for this position is $170,000.00 to $205,000.00. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Final compensation may vary based on factors including but not limited to knowledge, skills and abilities as well as geographic location. Nestlé offers performance-based incentives and a competitive total rewards package, which includes a 401k with company match, healthcare coverage and a broad range of other benefits. Incentives and/or benefit packages may vary depending on the position. Learn more at About Us | Nestlé Careers (nestlejobs.com) REQUISITION ID:353880 It is our business imperative to remain a very inclusive workplace. To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestlé. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestlé seeks such skilled and qualified individuals to share our mission where you'll join a cohort of others who have chosen to call Nestlé home. The Nestlé Companies are equal employment opportunity employers. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status or any other characteristic protected by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at accommodations@nestle.com or please dial 711 and provide this number to the operator: **************. This position is not eligible for Visa Sponsorship. Review our applicant privacy notice before applying at *********************************** Job Requisition: 353880

Requisition ID # 165716 Job Category: Information Technology Job Level: Individual Contributor Business Unit: Operations - Other Work Type: Hybrid PG&E is seeking a Senior Data Engineer to lead the development of a modern, cloud-native data platform that supports vegetation management operations, regulatory compliance, and advanced analytics. This role is central to transforming fragmented legacy systems into a unified, audit-ready Snowflake Data Lakehouse, enabling scalable, secure, and transparent data access across the organization.? The engineer will design and implement robust ELT pipelines using Informatica as the primary tool, alongside a suite of AWS services including Step Functions, Fargate, Lambda, DynamoDB, and S3. The role spans structured, semi-structured, and unstructured data domains, integrating sources such as Salesforce (OneVM), SAP, SharePoint, ArcGIS, and remote sensing imagery (LiDAR, orthoimagery, surface reflectance, etc.). PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, particular skills, education, licenses or certifications, experience, market value, geographic location, collective bargaining agreements, and internal equity. Although we estimate the successful candidate hired into this role will be placed towards the middle or entry point of the range, the decision will be made on a case-by-case basis related to these factors. A reasonable salary range is: Bay Area Minimum: $122,000 Bay Area Maximum: $194,000 &/OR California Minimum: $116,000 California Maximum: $184,000 This job can also participate in PG&E's discretionary incentive compensation programs. This position is hybrid. You will work from your remote office and your assigned location based on business needs. The headquarters location is Oakland, CA. Job Responsibilities • Design, build, and maintain scalable data pipelines using tools such as Informatica, AWS services, and Snowflake to support ingestion, transformation, and curation of structured, semi-structured, and unstructured data. • Collaborate with cross-functional teams-including data scientists, analysts, and business stakeholders-to understand data requirements and deliver high-quality, analytics-ready datasets. • Implement and optimize data lakehouse architectures, ensuring efficient data flow across Bronze, Silver, and Gold layers in Snowflake. • Support the deployment of machine learning models by enabling feature pipelines, model input/output data flows, and integration with platforms like SageMaker or Foundry. • Apply software engineering best practices such as version control, CI/CD, unit testing, and infrastructure-as-code to ensure reliable and maintainable data workflows. • Monitor and troubleshoot data pipelines, ensuring data quality, lineage, and governance standards are met across all environments. • Mentor junior engineers and contribute to architectural decisions, code reviews, and knowledge sharing within the team. • Communicate technical concepts and project updates clearly to both technical and non-technical audiences. Qualifications Minimum: 5 years of hands-on experience in data engineering, including: Designing and building scalable ETL/ELT pipelines for structured, semi-structured, and unstructured data. Working with cloud data platforms such as Snowflake, Databricks, or AWS Redshift. Using data integration tools like Informatica or AWS Glue. Developing in distributed data processing frameworks such as Apache Spark. Proficiency in SQL and at least one programming language such as Python, Scala, or Java. Ability to collaborate in cross-functional teams and communicate technical concepts to non-technical stakeholders. Strong understanding of software engineering best practices, including: Unit testing and test-driven development (TDD) Continuous Integration/Continuous Deployment (CI/CD) Source control using tools like Git and platforms like GitHub Experience with cloud services (preferably AWS), including: S3, Lambda, Step Functions, Fargate, DynamoDB, SNS/SQS, and CloudWatch. Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field; or equivalent practical experience. Desired: Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation). Experience deploying and operationalizing machine learning models in production environments. Familiarity with business intelligence tools such as Power BI, Tableau, or Foundry for data visualization and reporting. Experience working with geospatial data and tools such as ArcGIS. Experience with data cataloging, metadata management, and data lineage tools such as Informatica and Collibra.

Introduction to the job ASML brings together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy-efficient microchips. We design, develop, integrate, market and service these advanced machines, which enable our customers - the world's leading chipmakers - to reduce the size and increase the functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics. Our headquarters are in Veldhoven, the Netherlands, and we have 18 office locations around the United States. We are currently recruiting for positions located at our office in San Diego, CA (EUV laser source creation). As the world's leading semiconductor lithography machine manufacturer, ASML enables chip manufacturers to make cheaper, faster, chips, thereby enabling all the technology you use today. The machines we make require high speed, magnetically levitated stages with sub-nanometer accuracy, robotic mask delivery systems, mechatronic devices to shape and correct the laser illumination source, and optical modules that can detect sub-nanometer alignment errors and pattern distortions. Temperature controlled to milli-kelvins, particulate free, and operating in complete vacuum, the technical challenges are endless. Solving these requires expertise in servo controls, mechatronics, mechanical engineering, electrical engineering, embedded software engineering, optics, physics, manufacturing, industrialization, and more. If you like extreme challenges and want to help bring the next generation of technology to the world, then come join ASML. The EUV Source team in San Diego operates in a fast-paced, uniquely innovative, and challenging environment to deliver new-to-industry products supporting the commercialization of EUV technology by ASML. The Data Science/AI Engineer will be part of the EUV Source Performance team within ASML San Diego. Due to high complexity of the EUV light source, we, as Source Performance, are a dedicated team with the mission to validate and ensure that EUV sources meet or exceed customer performance requirements and expectations. In order to execute this mission, EUV Source Performance acts as the critical enabler of knowledge acquisition and transfer throughout the products development process, via: Substantive participation in the technology development and system definition process for products in definition and early development stage. Ensuring quality of the module to sub-system to system-level performance testing and validation for the products in integration phase. Driving technology improvements enabling new products field release and refinement of system specifications based upon deep understanding of factory and field performance. The creation and delivery of analytic tooling, action plans and procedures to drive maximum solving power of our customer support organizations for sustaining products. Role and responsibilities Collaborate to design and implement end-to-end AI and data science lifecycle, from data collection and preprocessing to model deployment and monitoring, providing technical leadership and guidance. Apply theoretical models, concepts, methods, and novel experimental techniques to quantitatively interpret performance of EUV source systems across a wide range of issues and multiple technical disciplines. Produce clear, concise technical documentation in defined company formats, present results and align with cross-functional teams. Work closely with and cross-functional groups (systems engineering, development engineering, scientists, IT, global customer support personnel, manufacturing personnel) to drive results in AI projects. Education and experience Bachelor or MS in Computer Science, Data Science, or Machine Learning. Minimum 8 to 10 years' experience in a similar role. The ideal candidate will be a hands-on, full-stack engineer (data engineering, data science, and AI) with experience in taking AI/ML applications from concept to deployment. This includes: Building datasets suitable for AI/ML using SQL, pandas, and pyspark, and in particular scaling those jobs on databricks to GB and TB scale Exploratory analysis, preprocessing, and preparation of datasets for suitable AI/ML pipelines Ability to interface with domain experts to understand EUV physics and operational principles necessary to contextualize data properly and gain novel insights that domain experts will find accurate and relevant Experience with physics inspired neural networks or dynamical systems Experience spanning classical ML techniques (sklearn, regression, clustering, classification) to deep learning Experience with LLMs, RAG, fine-tuning, vector databases and embedding models (nice to have) Developing and optimizing neural network architectures using frameworks such as TensorFlow and PyTorch. Implementing scalable machine learning models and algorithms in a cloud-based environment. Proficiency in using GPU and TPU hardware accelerators for deep learning training and inference. Understanding of the concept of large complex system integration and practices. Skills Excellent analytical and troubleshooting skills. Excellent inter-personal and customer service skills, with an advanced understanding of customer relationship building. Excellent written and verbal communication skills. Ability to reduce large amounts of data, create a concise summary, and effectively report results through written and/or graphical formats. Ability to define and execute tasks based on project descriptions with minimum or no supervision. Other information PHYSICAL DEMANDS AND WORK ENVIRONMENT The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee routinely is required to sit; walk; talk; hear; use hands to keyboard, finger, handle, and feel; stoop, kneel, crouch, twist, reach, and stretch. The employee is occasionally required to move around the campus. The employee may occasionally lift and/or move up to 50 pounds. Will require travel dependent on business needs; travel to overseas and domestic customer sites for ~ 10 % of time may be required. Can work under deadlines. May be required to climb or balance. Work schedule may vary and include evenings and weekends as well as long hours based on business needs. The current base annual salary range for this role is currently: $144,000-240,000 Pay scales are determined by role, level, location and alignment with market data. Individual pay is determined through interviews and an assessment of several factors that that are unique to each candidate, including but not limited to job-related skills, relevant education and experience, certifications, abilities of the candidate and pay relative to other team members. The Company offers employees and their families, medical, dental, vision, and basic life insurance. Employees are able to participate in the Company's 401k plan. Employees will also receive eight (8) hours of vacation leave every month and (13) paid holidays throughout the calendar year. For more information, please contact the Recruiter or click on this link Compensation & Benefits in the US. All new ASML jobs have a minimum application deadline of 10 days. This position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology. Diversity and inclusion ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company. Need to know more about applying for a job at ASML? Read our frequently asked questions. Request an Accommodation ASML provides reasonable accommodations to applicants for ASML employment and ASML employees with disabilities. An accommodation is a change in work rules, facilities, or conditions which enable an individual with a disability to apply for a job, perform the essential functions of a job, and/or enjoy equal access to the benefits and privileges of employment. If you are in need of an accommodation to complete an application, participate in an interview, or otherwise participate in the employee pre-selection process, please send an email to USHR_Accommodation@asml.com to initiate the company's reasonable accommodation process. Please note: This email address is solely intended to provide a method for applicants to initiate ASML's process to request accommodation(s). Any recruitment questions should be directed to the designated Talent Acquisition member for the position.

Food has lost its soul to modern convenience. And with it, has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 35 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you've found the right job posting. The Team: The Engineering Foundation team is a newly formed team responsible for ensuring the overall architecture supports the company's rapid growth and provides an excellent experience for all CookUnity users. We're undertaking a large re-architecture of many systems across the engineering stack, and we'll shape (and build) the future frameworks, technologies, and patterns for the rest of the engineering org to leverage. The Role: This is a rare opportunity to work at a rapid growth scaleup company and build on an entirely net new system to set the engineering foundation and principles across the org. As a Staff Data Engineer on the Engineering Foundation team, you'll play a critical role in defining the direction for the future of CookUnity's data engineering architecture. You will design & build net new data pipelines and systems that form the future base of our B2C data engineering stack, and set in place best practices and patterns for the entire CookUnity data engineering org to adopt. We're looking for someone who's excited about the prospect of taking an existing product that's growing rapidly and helping to rebuild key components of our system. This will help set CookUnity up to scale gracefully for our next years of rapid growth, reduce overall system complexity, enable greater product experimentation, and enable product teams to build incredible features faster. Responsibilities: Design and build net new resilient batch and real-time data pipelines that power critical products and drive rapid business growth. Design and build data pipelines facilitating the migration from existing disparate data models and data sources, into new data models and databases in production. Champion data reliability and performance by implementing proactive monitoring and quality-first engineering practices. Optimize data models to support fast, efficient decision-making across high-impact product and business use cases. Partner closely with product, engineering, and data science teams to quickly translate evolving business needs into scalable, production-ready data solutions. Shape the future of data engineering at scale, helping define the long-term roadmap and setting best practices as we grow. Coach and level up teammates, fostering a culture of learning, ownership, and continuous improvement. Demonstrate strong self-direction and thrive in environments with high ambiguity, making sound decisions even when clear solutions are not readily apparent. Qualifications: 7+ years of relevant industry experience. Proficient in Java, Scala, or Python, with deep expertise in data processing tech and in writing complex SQL queries. Proven track record of driving innovation within highly technical, distributed teams. You have driven complex projects to completion and are motivated by solving high-impact problems and building for the best user UX. Proven track record in designing, building, and operating robust distributed data platforms (e.g., Snowflake, Spark, Flink, Kafka), and handling large data sets. Demonstrable experience of building, productionalizing, and optimizing real-time and batch data pipelines. Preferred Requirements: Experience designing data architectures to power a variety of use cases, including enabling experimentation Be opinionated on engineering best practices and help contribute to our strong engineering culture. Experience with cloud-native technologies (Kubernetes, containers, etc). Past experience working in a rapid growth company or an early stage startup environment. A passion for food! Benefits: 🩺 Health Insurance coverage. 🌅 401k Plan. 📈 We grow, you grow: Stock Options Plan granted on Day 1. ⛱ PTO policy and paid sick days / Unlimited PTO. 🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical. 🐣 Paid family leave. 🕯 Compassionate Leave: 3-5 days each time the need arises. 🥘 A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly. 🧘🏽️‍♀️ Wellness perks: access to a nutritional coach and fitness subsidies to build a healthy lifestyle. 👩🏾️‍🏫 Personalized Spanish coach. 🌟 Awesome opportunity to join a company that is looking to change how we eat and how chefs work! Learn More About CookUnity: We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we're looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale. We hope this provides valuable insight into our culture and product vision. If this excites you, we'd love to connect! Compensation All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.Pay Range for this position$180,000—$200,000 USD If you're interested in this role, please submit your application and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.

Job Description Rumble is a high-growth neutral video platform that is creating the rails and independent infrastructure designed to be immune to cancel culture. Rumble's mission is to restore the Internet to its roots by making it free and open once again. What you will do: Rumble is seeking an experienced Principal ML Data Engineer who will be responsible for setting requirements for data collection, preprocessing, analyzing large amounts of data, building / deploying models and algorithms capable of learning and predicting future data points. In this key role you will be responsible for: Analyze large amounts of data to discover trends and patterns to develop a KPI driven solution. Identify valuable data sources and set requirements, and assist in the implementation. Undertake and execute preprocessing of structured and unstructured data. Build / deploy predictive models and machine-learning algorithms from the ground up. Propose solutions and strategies to business challenges and KPIs. Collaborate with engineering and product development teams. Training and retraining ML systems and models as needed. Assist in the management and running of ML specific servers / infrastructure / VMs. Other duties, as assigned. Required Qualifications: 5+ years of combined expert level experience using one or more of the following languages Python, Java, or C++ 3+ years working with, running and performing administrative tasks on linux based operating systems 2+ years of experience of building machine learning models for business application and KPIs Algorithm and model development and execution experience for large-scale applications Extensive knowledge and practical experience in deep neural networks and other recommendation systems, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), residual neural networks and collaborative filtering techniques. Experienced in MLOps to design, implement, and manage scalable pipelines for model deployment, monitoring, and continuous improvement in production environments. Strong fundamentals in problem solving, algorithm design and complexity analysis. Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts. Preferred Qualification: Experience contributing, working with, or maintaining open-source projects. Experience working with any or all of the following: SQL, ClickHouse, Kafka and Redis Desired Qualification: Significant peer reviewed scientific contributions in premier journals and conferences are a plus. Understanding of network concepts Working experience with online video, and ad technologies Why Our Team Loves Working Here: We are making a significant financial impact for our video creator community; we're proud of their success stories We enjoy challenging the status quo and going head-to-head against Big Tech We aren't afraid to try new things; we act fast and want to win We pay competitive salaries and provide great benefits EEO Statement: Rumble is an equal opportunity employer. We promote an equal playing field where everyone has the same opportunities regardless of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability status, or any other applicable characteristics protected by law. Rumble is an active participant in the e-verify program. Physical demands of the position: While performing the duties of this job, the employee is regularly required to sit for prolonged periods of time while using a computer and/or keyboard. The employee is required to communicate verbally and hear. The employee may be required to walk, reach with hands and arms, balance, and stoop or kneel. The employee may occasionally be required to lift and/or move up to 15 pounds. Specific vision abilities required by this job include clarity of vision at approximately 20 inches or less (i.e., working with small objects or reading small print), including the use of computers.

Our client is a Fortune 200 leading retail energy company focused on bringing the power of energy to people and organizations. Putting customers at the center of everything they do, they provide energy solutions to millions of people through their diverse portfolio of retail brands across North America. Take your career to the next level by working on a dynamic and innovative team that moves our world towards a sustainable energy future. Essential Duties/Responsibilities: Adhere to our culture of humility, curiosity, and impact Process data using Python, PySpark, and Databricks Develop purchase propensity models and product recommendation models Learn the job while performing hands-on analytics and modeling Help business partners make more profitable decisions based on customer and prospect insights Working Conditions: Fully remote Minimum Requirements: 0-3 years of experience in data analysis or related field Master's degree in a quantitative discipline or equivalent practical experience Experience with statistical software and database languages Preferred Qualifications: Experience using data science to improve customer experience and business profitability Ph.D. in a quantitative discipline Proficiency in Python packages such as PySpark, NumPy, pandas, scikit-learn, XGBoost, Matplotlib, and lifelines Theoretical and practical knowledge of methods such as frequentist statistics, Bayesian statistics, forecasting, optimization, causal inference, machine learning, and natural language processing Proficiency with version control Experience with reading and writing data in S3 Ability to collaborate effectively with teammates across functions with strong skills in persuasive and informative speaking

LMI is a consultancy dedicated to improving the business of government, drawing from deep expertise in advanced analytics, digital services, logistics, and management advisory services. Established as a private, not-for-profit organization in 1961, LMI is a trusted third party to federal civilian and defense agencies, free of commercial and political bias. We believe government can make a difference, and we seek talented, hardworking people who share that conviction. Position is on the research staff of a government consulting organization and will be based out of Reston, VA. This position provides verified mathematical and scientific techniques programmatically to answer questions prioritized by the Sponsor. Responsibilities Work with a project-based team comprised of staff and other contractors. Work closely with the Sponsor to review and track data science requirements and provide regular status updates. Consult with customers to determine present and future user needs for Sponsor consideration. Utilize project management systems such as a Content Management System (CMS) (e.g. Wordpress), Confluence and JIRA to define and track requirements. Engage frequently with customers and stakeholders to clearly explain the project status and results in both written and verbal or multimedia briefings. Provide traceability within program documents and the overall computing environment and architecture. Implement data science requirements, to include data engineering and data analytics services as defined by the Sponsor. Use the full software lifecycle to create data science products which include data ingestion, analytics which may include machine learning, and some form of output as either a machine-readable format (e.g. file output, database output, standard/streaming output) or a user interface or dashboard. Develop robust data engineering pipelines utilizing Apache Nifi and Python to include use and development of REST APIs and microservices. Clean, parse and transform data from multiple file types into appropriate database architecture (e.g. SQL, no SQL, graph) which performs at scale. Develop self-guided training curriculum which includes detailed Jupyter Notebooks and documentation about how to use open-source and commercial software and Sponsor-developed data science software. Develop, deploy and provide feature enhancements using Python for data science products and services, to include Python packages, code documentation, notebooks, and microservices. Qualifications Bachelor's Degree in a quantitative discipline (e.g., related discipline) Minimum 6-8 years experience Demonstrated experience programming with Python. Demonstrated experience with general Linux computing and advanced bash scripting. Demonstrated experience constructing complex multi-data source queries with database technologies such as PostgreSQL, MySQL, Neo4J or RDS. Demonstrated experience processing data sources containing structured or unstructured data. Demonstrated experience developing data pipelines with NiFi to bring data into a central environment. Demonstrated experience delivering results to stakeholders through written documentation and oral briefings. Demonstrated experience using code repositories such as Git. Demonstrated experience using Elastic and Kibana technologies. Demonstrated experience working with multiple stakeholders. Demonstrated experience documenting such artifacts as code, Python packages and methodologies. Demonstrated experience using Jupyter Notebooks. Demonstrated experience with machine learning techniques including natural language processing. Demonstrated experience explaining complex technical issues to more junior data scientists, in graphical, verbal, or written formats. Demonstrated experience developing tested, reusable and reproducible work. Work or educational background in one or more of the following areas: mathematics, statistics, hard sciences (e.g. Physics, Computational Biology, Astronomy, Neuroscience, etc.) computer science, data science, or business analytics. Must possess TS/SCI with polygraph. Desired Demonstrated experience with system configurations, development and design, specifically around enterprise systems. Demonstrated experience communicating both verbally and in writing, when responding to emails, telephone calls and/or in person inquiries from organizational personnel. Certification: ISACA Certified Information Security Manager (CISM) ISACA Certified Information Systems Auditor (CISA) ISC Certified Information Systems Security Professional (CISSP) ISC Certified Cloud Security Professional (CCSP) ISC Certified Authorization Professional (CAP) #LI-SH1 Target salary range: $104,040 - $183,600. Final compensation will be determined by a variety of factors including but not limited to your skills, experience, education, and/or certifications. The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

LMI is seeking a Data Scientist to support a U.S. Federal Government Agency working with classified media. This position will work with a team of developers, architects, and data scientists to build new capabilities for our client, bringing innovative ideas to challenging and complex problems. The Data Scientist will query and structure data, apply algorithms to develop machine learning models, develop metrics and data visualizations, and deploy visualization products to web-based environments. The Data Scientist will have a strong background in technology, the ability to structure data for reporting, and a strategic view for how to present analytic results to customers. This position will be responsible for presenting and explaining complex results to users. Join our team of collaborative self-starters focused on delivering practical and efficient solutions in support of our client's incredibly important mission. Responsibilities Gather and process raw data at scale by using statistical packages (e.g., R, SAS) and programming languages (e.g., Python, Java, and Scala); Develop performance metrics, conduct statistical analyses, and apply decision models to address business process challenges; Query databases using SQL with structured data and perform statistical analysis; Develop a familiarity with machine learning algorithms and advanced statistical methods, such as regression, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, and neural networks; and Use critical thinking skills to assess how machine learning capabilities can best be applied to complex business situations. Develop intuitive dashboards and data visualization products using Tableau or other data visualization tools; Think strategically about how to publish data visualizations and present analytic results; Support business decisions with ad hoc analysis; Qualifications 3 years of experience using data sources from industry, academia, the IC, the military, and/ or the scientific community. 3 years of experience discovering, organizing, and structuring data and applying advanced analytic techniques, such as mathematical modeling, geospatial analysis, and applications of graph theory. 3 years of experience using Python, R, or other coding languages and developing and evaluating algorithms and methods. Experience in advanced analytics, such as social network analysis (SNA), social media analysis, graph theory, geospatial analysis, and data visualization. Experience with data manipulation, analytic papers or report writing, and subject matter briefing(s), slides and graphic products. Active TS/SCI with polygraph required. #LI-SH1

At FMC, the Data Science, Engineering and Analytics team powers innovative solutions across the enterprise, with roots in our industry-leading precision agriculture initiatives. While we continue delivering novel insights that help farmers and customers protect their crops against various pest pressures, our team has expanded to develop comprehensive data solutions throughout FMC's operations. As the only global agricultural sciences company focused exclusively on crop protection, FMC leverages our data expertise to deliver best-in-class agronomic advice and optimize business processes across the organization. Our team builds and maintains a diverse portfolio of applications and services, adopting the mindset, agility, and processes of a technology company while drawing on our 100+ years of experience in agriculture. This role is located at our corporate headquarters in Philadelphia, PA. Responsibilities: Build data science solutions to solve complex problems and fuel growth initiatives Work with stakeholders to find workable solutions to our business problems on data. This will require the ability to translate the problems stated in business terms into quantitative approaches, leading to projects starting small and aspiring to grow big if preliminary results are promising. Develop data pipelines (Airflow and Databricks) for automation, scalability, extensibility, and transparency Convey sophisticated machine learning and modeling solutions with intuitive visualizations and effective communications Participate in discussions to make the right scientific or technical trade-offs to meet long-term strategic and short-term tactical business needs Qualifications: MS/Ph.D. in computer science, machine learning, statistics, economics, applied mathematics, Physics, agronomy/climatology, or other scientific or computational disciplines 4+ years of industry experience building advanced analytics models and machine learning products across one or more areas of Predictive/Prescriptive Analytics, Natural Language Processing, Time Series Forecasting, Computer Vision, and Image Processing Applied experience of various machine learning techniques (e.g., Neural Networks, Tree based learning, Clustering etc.) Hands-on experience working on large data sets with expertise in data mining, predictive modeling, statistical analysis Experience with distributed systems such as Hadoop/MapReduce, Spark, etc. and modeling on cloud platforms (AWS/Azure/GCP) Fluency with at least one of the modern distributed ML frameworks such as TensorFlow, PyTorch, Keras, H2O etc. Demonstrated expertise in SQL and one or more languages commonly used in data analytics (Python, R, Scala etc.). Python/R/Scala proficiency is strongly preferred Experience with packages such as NumPy, SciPy, pandas, scikit-learn, dplyr etc. Passionate about data driven story telling using visualization tools like Tableau, Power BI. Demonstrated experience building and deploying production ready machine learning models Comfortable with multi-tasking in a fast paced and fun environment Preferred Qualifications: Hands on experience working with large data sets (Spark, Hadoop, Hive, Redshift, etc.) Experience articulating business questions and using mathematical techniques to arrive at an answer using available data Additional experience in one or more core analytic methods, such as predictive modeling customer segmentation/clustering, voice of customer applications, personalization, image recognition, supply chain optimization etc. Good understanding of data privacy, GDPR and best practices around data encryption Working knowledge of DevOps model, automated workflows, associated CI/CD components and containers (git, Jenkins, Docker, Kubernetes etc.) Well-versed in articulating business questions and using mathematical techniques to arrive at an answer using available data Project management experience managing vendors and system integrators to lead data engagements and drive adoption Experience analyzing geospatial information and applying geostatistical techniques to remote sensing data

Job Description Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join our dynamic and multidisciplinary team of independent and entrepreneurial computer scientists and engineers. In this role, you will collaborate with scientists and researchers in various areas, including data analysis, compression, text processing, graph analysis, machine learning, information visualization, as well as others. Responsibilities: Collaborate with scientists and researchers in various areas to develop state-of-the-art algorithms, software, and computer systems solutions to challenging problems. Assess the requirements for data science research from Applied Physics and the Advanced Propulsion Laboratory. Engage with other developers frequently to share relevant knowledge, opinions, and recommendations, working to fulfill deliverables as a team. Design technical solutions independently, participating as a member of a multidisciplinary team to analyze client requirements and designs, and implementing software and performing analyses to address these needs. Develop and integrate components for creating an operational information and knowledge discovery system. Requirements Bachelor’s degree in computer science, computer engineering, or related field, or the equivalent combination of education and related experience. Comprehensive knowledge of one or more of the following: high-performance computing, scientific data analysis, statistical analysis, computer security, systems programming, and/or large-scale data management. Skilled in all phases of software development, including but not limited to feasibility requirements, design, implementation, integration, testing, and deployment. Experience developing software with C++, C, Java, Python, R, or Matlab, software applications in Linux, UNIX, Windows environments, data analysis algorithms, data management approaches, relational databases, or machine learning algorithms. Ability to successfully handle multiple time-sensitive projects across several disciplines. Proficient verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information. Benefits We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world. If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.

Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join our dynamic and multidisciplinary team of independent and entrepreneurial computer scientists and engineers. In this role, you will collaborate with scientists and researchers in various areas, including data analysis, compression, text processing, graph analysis, machine learning, information visualization, as well as others. Responsibilities: Collaborate with scientists and researchers in various areas to develop state-of-the-art algorithms, software, and computer systems solutions to challenging problems. Assess the requirements for data science research from Applied Physics and the Advanced Propulsion Laboratory. Engage with other developers frequently to share relevant knowledge, opinions, and recommendations, working to fulfill deliverables as a team. Design technical solutions independently, participating as a member of a multidisciplinary team to analyze client requirements and designs, and implementing software and performing analyses to address these needs. Develop and integrate components for creating an operational information and knowledge discovery system. Requirements Bachelor's degree in computer science, computer engineering, or related field, or the equivalent combination of education and related experience. Comprehensive knowledge of one or more of the following: high-performance computing, scientific data analysis, statistical analysis, computer security, systems programming, and/or large-scale data management. Skilled in all phases of software development, including but not limited to feasibility requirements, design, implementation, integration, testing, and deployment. Experience developing software with C++, C, Java, Python, R, or Matlab, software applications in Linux, UNIX, Windows environments, data analysis algorithms, data management approaches, relational databases, or machine learning algorithms. Ability to successfully handle multiple time-sensitive projects across several disciplines. Proficient verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information. Benefits We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world. If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.

Country: United States of America Job Title Data Scientist - Digital Technology Rising Leaders Program The Digital Technology (DT) Rising Leaders Program in data science is an exciting early career rotational program designed for recent graduates with a master's or PhD degree in a technology-related field. This two-year program aims to develop future leaders for our DT Organization through a fast-track system of three dynamic rotations, each lasting eight months. Participants will gain hands-on experience in key areas such as Data Science & Analytics, Business Applications & Mobility Program Delivery, Enterprise & Cloud Architecture, and our innovative Otis Accelerator (OX). Upon completion of the program, participants will transition into the role of a Data Scientist, equipped with the skills and experience necessary to excel in this position. On a typical day you will: Rotational Program: • Participate in dynamic 8-month rotations across key Digital Technology functions, gaining exposure to core systems and processes. • Work on impactful, real-world projects that address critical business challenges and contribute to the digitalization of Otis operations globally. • Collaborate with rotation managers and mentors to deepen technical knowledge, develop innovative solutions, and build cross-functional leadership capabilities. • Engage with the DT Engagement Teams and DT Energy Board to support strategic initiatives and broaden your network. • Provide updates on your progress and impact through system-based tracking tools, ensuring transparency and alignment with program goals. • Contribute to the development and execution of organizational strategies that leverage technology for long-term success. Data Scientist Responsibilities: • Research and develop advanced AI models and algorithms to solve complex problems. • Design and implement machine learning, deep learning systems, and other data science solutions to solve specific business problems. • Analyze large datasets to extract meaningful insights and patterns. • Collaborate with cross-functional teams to integrate AI and data science solutions into products and services. • Stay updated with the latest advancements in AI and data science technologies. • Communicate effectively with colleagues and stakeholders. What You Will Need to be Successful: • Advanced degree (master's and/or Ph.D.) required in Data Science, Operations Research, Statistics, Computer Science, Mathematics, or a comparable field. (Ph.D preferred). • Good business acumen, interested in business processes, and can translate business problems into technical solutions. • Proficiency in programming languages such as Python. • Advanced knowledge of SQL and database management. • Strong background in machine learning, deep learning, statistical modeling, and/or optimization. • Experience with GenAI/AI/deep learning frameworks and libraries. • Excellent problem-solving and analytical skills. • Strong communication and teamwork abilities. • Ability to work in a fast-paced and dynamic environment. Preferred Qualifications: • Experience with mediating data quality issues, including measuring data quality, determining sources of quality issues, and solving them. • Experience with cloud platforms like Azure or Google Cloud. • Familiarity with big data technologies such as Hadoop or Spark. The salary range for this role is $80,000-$85,000. We may pay more or less than the posted range, and the range may change in the future. Pay within the salary range will be based on factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. At Otis, we are dedicated to supporting the well-being and growth of our employees through a comprehensive benefits package. As a participant in the Digital Technology Rising Leader Program, you will enjoy competitive health, dental, and vision coverage, along with a 401(k) retirement plan with company contributions to secure your financial future. Our Employee Scholar Program provides opportunities to further your education and develop new skills, while mentorship and leadership development initiatives help you grow personally and professionally. We also prioritize work-life balance with generous paid time off, including vacation days and holidays. As part of a global team, you will thrive in a collaborative and inclusive environment that values innovation, diversity, and belonging, empowering you to make a meaningful impact in your career. Apply today to join us and build what's next! If you live in a city, chances are we will give you a lift or play a role in keeping you moving every day. Otis is the world's leading elevator and escalator manufacturing, installation, and service company. We move 2 billion people every day and maintain approximately 2.2 million customer units worldwide, the industry's largest Service portfolio. You may recognize our products in some of the world's most famous landmarks including the Eiffel Tower, Empire State Building, Burj Khalifa and the Petronas Twin Towers! We are 69,000 people strong, including engineers, digital technology experts, sales, and functional specialists, as well as factory and field technicians, all committed to meeting the diverse needs of our customers and passengers in more than 200 countries and territories worldwide. We are proud to be a diverse, global team with a proven legacy of innovation that continues to be the bedrock of a fast-moving, high-performance company. When you join Otis, you become part of an innovative global industry leader with a resilient business model. You'll belong to a diverse, trusted, and caring community where your contributions, and the skills and capabilities you'll gain working alongside the best and brightest, keep us connected and on the cutting edge. We provide opportunities, training, and resources, that build leadership and capabilities in Sales, Field, Engineering and Major Projects and our Employee Scholar Program is a notable point of pride, through which Otis sponsors colleagues to pursue degrees or certification programs. Today, our focus more than ever is on people. As a global, people-powered company, we put people - passengers, customers, and colleagues - at the center of everything we do. We are guided by our values that we call our Three Absolutes - prioritizing Safety, Ethics, Quality in all that we do. If you would like to learn more about environmental, social and governance (ESG) at Otis click here. Become a part of the Otis team and help us #Buildwhatsnext! Otis is An Equal Opportunity, Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other protected class according to applicable law. To request an accommodation in completing an employment application due to a special need or a disability, please contact us at ****************. Privacy Policy and Terms: Click on this link to read the Policy and Terms

Hunter Douglas is the world's leading manufacturer of window coverings and a major manufacturer of architectural products. We are a brand that you know and trust. With more than 100 years of innovation, we've defined our industry with proprietary products that deliver revolutionary style and functionality and can be found in millions of homes and commercial buildings globally. We are searching for candidates that are driven, intelligent, creative, and entrepreneurial. By offering challenging and accelerated opportunities for growth, powered by a shared hunger for success, we create a space for your career to thrive. In return for your expertise, we are committed to providing competitive and robust total compensation and benefit packages to ensure you feel valued. Our dream is to become the fastest growing, most loved, window covering company in the world. What's yours? Position overview The Data Scientist will design and implement smaller-scale models and support data science initiatives across the business. This role is ideal for someone eager to apply their skills in machine learning and analytics to solve real-world problems in a collaborative environment. What you'll do Build, test, and deploy machine learning and statistical models Translate business challenges into analytical problems Support senior team members in large-scale data science projects Conduct exploratory data analysis and communicate insights Contribute to experimentation, feature engineering, and data preparation pipelines Who you are Bachelor's or master's degree in a quantitative field 4+ years of experience in data science or analytics Proficient in Python and SQL; experience with machine learning libraries (e.g., scikit-learn, XGBoost) Strong problem-solving skills and curiosity Good communication skills and experience working with stakeholders If this sounds like you, we would love to hear from you. Please apply by submitting your resume/CV. At Hunter Douglas, you'll be part of a forward-thinking team committed to excellence. We offer a supportive environment for professional growth, competitive compensation, and the opportunity to make a real difference.

Job Description As a Data Scientist you will be responsible for designing, implementing, and optimizing advanced data science models to solve business problems. You will collaborate with cross-functional teams to develop data-driven solutions that enhance our products and services. Functions • Processing, cleansing, and validating the integrity of data to be used for analysis • Conduct research and analysis to identify data patterns and trends that can be leveraged for AI model development. • Performs data analysis, interprets the findings from it and explains the finding to stake holders. • Propose solutions and strategies to tackle business challenges. • Design, develop, and implement machine learning algorithms and statistical models to power AI results and actions. • Ensure AI model development incorporates all necessary guardrails that always allows the user to be in control. • Lead testing processes to assess and continuously enhance AI performance. • Continuously monitor and evaluate model performance, making improvements as necessary to ensure accuracy and relevance. • Designs and maintains scalable data pipelines. • Stay updated on industry trends and best practices in data science and customer analytics. • Collaborate with cross-functional teams including data engineering, marketing, sales, and product development. Qualifications • A Bachelor’s or Master’s degree in mathematics, computer science, engineering, statistics, or related quantitative field required. • 3-5 years of experience within data science, advanced analytics and statistical analysis. • Strong programming skills in Python, with expertise in SQL. • Strong understanding of machine learning algorithms and statistical modeling techniques. • Experience deploying machine learning models in production environments. • Ability to visualize data in the most effective way possible for a given project or study • Expertise in building Generative AI applications. • Proven track record of delivering data science solutions that drive business impact. • Experience with cloud services such as AWS and utilizing containerized solutions for deploying scalable machine learning solutions. • Experience with frameworks like Dash to build scalable web applications. • Ability to work independently and with team members from different backgrounds. • Excellent communication and presentation skills, with the ability to translate complex technical concepts to non-technical stakeholders. Competencies • Business Acumen – Knowledgeable in current and possible future policies, practices, trends, technology, and information affecting his/her business and organization. • Communicate for Impact – Devoting the time and resources necessary to communicate the strategic vision, direction, priorities, and progress of the team for which you are responsible. • Leading People – Ability to develop and implement strategies to maximize employee performance and foster employee engagement in meeting the organization's strategy. • Managing Transitions/Change Management – Effectively plans, manages and communicates changes in processes with appropriate stakeholders. • Relationship Management – Building and maintaining relationships with internal partners to successfully complete projects and organizational objectives. • Strategic Agility - Gains perspective and balances the pressure between daily tasks and strategic actions that impact the long-term viability of the organization. Travel Requirements • This position is expected to travel approximately 25% or less. • A passport is not required, but recommended. For California residents – please enter or copy/paste the address below into your address bar to review an important notice regarding Kenco’s privacy policy. **********************************************************************************

This senior individual contributor is primarily responsible for leading the design and development of data pipelines and automation for data acquisition and ingestion of raw data from multiple data sources and data formats. This role is also responsible for leading the development of detailed problem statements outlining hypotheses and their effect on target clients/customers, serving as an expert in the analysis and investigation of complex data sets, leading the selection, manipulation and transformation of data into features used in machine learning algorithms, training statistical models, leading the deployment and maintenance of reliable and efficient models through production, verifying and ensuring model performance, and partnering with internal and external stakeholders across domains to develop and deliver statistical driven outcomes.Essential Responsibilities: Promotes learning in others by communicating information and providing advice to drive projects forward; builds relationships with cross-functional stakeholders. Listens, responds to, seeks, and addresses performance feedback; provides actionable feedback to others, including upward feedback to leadership and mentors junior team members. Practices self-leadership; creates and executes plans to capitalize on strengths and improve opportunity areas; influences team members within assigned team or unit. Adapts to competing demands and new responsibilities; adapts to and learns from change, challenges, and feedback. Models team collaboration within and across teams. Conducts or oversees business-specific projects by applying deep expertise in subject area; promotes adherence to all procedures and policies. Partners internally and externally to make effective business decisions; determines and carries out processes and methodologies; solves complex problems; escalates high-priority issues or risks, as appropriate; monitors progress and results. Develops work plans to meet business priorities and deadlines; coordinates and delegates resources to accomplish organizational goals. Recognizes and capitalizes on improvement opportunities; evaluates recommendations made; influences the completion of project tasks by others. Leads the development of detailed problem statements outlining hypotheses and their effect on target clients/customers by ensuring comprehensive and accurate definitions of scope, objectives, outcome statements and metrics. Leads the design and development of data pipelines and automation for data acquisition and ingestion of raw data from multiple data sources and data formats by overseeing the transformation, cleansing, and storing of data for consumption by downstream processes; writing and optimizing diverse and complex SQL queries; and demonstrating expertise of database fundamentals. Serves as an expert in the analysis and investigation of complex data sets by ensuring optimum data visualization methods are employed; determining how best to manipulate data sources to discover patterns, spot anomalies, test hypotheses, and/or check assumptions; and reviewing and verifying summaries of key dataset characteristics. Leads the selection, manipulation, and transformation of data into features used in machine learning algorithms by leveraging and demonstrating expertise in techniques to conduct dimensionality reduction, feature importance, and feature selection. Trains statistical models by selecting and leveraging algorithms and data mining techniques; leading model testing by ensuring the proper use of various algorithms to assess the input dataset and related features; and applying techniques to prevent overfitting such as cross-validation. Leads the deployment and maintenance of reliable and efficient models through production. Verifies and ensures model performance by demonstrating advanced expertise in the practice of a variety of model validation techniques to assess and discriminate the goodness of model fit; and leveraging feedback and output to manage and strengthen model performance. Partners with internal and external stakeholders across domains to develop and deliver statistical driven outcomes by generating and delivering insights and values from heterogeneous data to investigate complex problems for multiple use cases; driving informed decision-making; and presenting findings to both technical and non-technical leadership. Qualifications Minimum Qualifications: Minimum three (3) years experience working with Exploratory Data Analysis (EDA) and visualization methods. Minimum five (5) years machine learning and/or algorithmic experience. Minimum five (5) years statistical analysis and modeling experience. Minimum five (5) years programming experience. Minimum three (3) years experience in a leadership role with or without direct reports. Bachelors degree in Mathematics, Statistics, Computer Science, Engineering, Economics, Public Health, or related field AND Minimum eight (8) years experience in data science or a directly related field. Additional equivalent work experience in a directly related field may be substituted for the degree requirement. Advanced degrees may be substituted for the work experience requirements. Additional Requirements: Knowledge, Skills, and Abilities (KSAs): Strategic Thinking; Advanced Quantitative Data Modeling; Algorithms; Applied Data Analysis; Data Extraction; Data Visualization Tools; Deep Learning/Neural Networks; Machine Learning; Relational Database Management; Project Management; Microsoft Excel; Design Thinking; Business Intelligence Tools; Data Manipulation/Wrangling; Data Ensemble Techniques; Feature Analysis/Engineering; Open Source Languages & Tools; Model Optimization; Data Architecture; Data Engineering

About the company: The mining industry has steadily become worse at finding new ore deposits, requiring >10X more capital to make discoveries compared to 30 years ago. The easy-to-find, near-surface deposits have largely been found, and the industry has chronically under-invested in new exploration technology, relying on the manual techniques of yesteryear - even as demand accelerates for copper, lithium, and other metals to build electric vehicles, renewable energy, and data centers. KoBold builds AI models for mineral exploration and deploys those models-alongside our novel sensors-to guide decisions on KoBold-owned-and-operated exploration programs. In the six years since founding, KoBold has become by far both the largest independent mineral exploration company and the largest exploration technology developer. Our data scientists and software engineers, who come from leading technology companies, jointly lead exploration programs with our renowned exploration geologists. KoBold has proven its first discovery with materially less capital than the industry average and found one of the best copper deposits ever discovered: the copper is far more concentrated than the global average of copper mines, and this asset alone is expected to generate meaningful revenue for decades. KoBold has a portfolio of more than 60 other projects, each of which has the potential for another high-quality discovery. KoBold is privately held; investors include institutional asset managers T. Rowe Price and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, and Standard Investments; and natural resources companies Equinor, BHP, and Mitsubishi. We are hiring a Staff Data Scientist to help accelerate our mission. About the position In this role, you will build predictive models and apply a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will create models and develop software to accelerate discovery of critical battery metals. You will join an outstanding team of data scientists and engineers and will work closely with KoBold's world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work. Ultimately, your role is to help KoBold make valuable discoveries by building data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up. Responsibilities The Staff Data Scientist will: Help develop KoBold's proprietary software exploration tools. Find and curate geophysical, geochemical, geologic, and geographic data and integrate it into KoBold's proprietary data system. Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth's crust. Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features. Develop and apply data processing, statistical, and physics-based techniques to geoscientific data - from computer vision to geophysical inversions - and use the results to guide our targeting efforts and inform our acquisition and exploration decisions. Present to and collaborate with our external partners and stakeholders. Qualifications A great Staff Data Scientist candidate will have: Technical skills, including extensive experience with: Python's data science packages and general software engineering practices. Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines. Cloud computing resources. Building predictive models, applying them to different problems, and evaluating and interpreting the results. Data from a variety of physical systems. Geospatial analyses and visualizations. Technical knowledge: Broad skills in and knowledge of applied statistics and Bayesian inference Substantial understanding of machine learning algorithms Work practices and motivation: Ability to design, scope and implement technical solutions to novel exploration problems Demonstrated ability to quickly absorb and synthesize complex information, with a track record of high intellectual rigor in a professional setting. Exceptional curiosity and eagerness to learn, with a proactive approach to exploring new concepts and technologies. Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities. Ability to independently prioritize multiple tasks effectively. It is also helpful but not required to have experience with: Creating machine learning models on geospatial data Geostatistics Image processing or computer vision Distributed computing applications for machine learning and other computations KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunities for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, marital status, disability, or veteran status. This position is full-time, exempt. Location: Location: KoBold is a remote first workplace, we are open to candidates currently residing anywhere in the United States or Canada. All candidates must be authorized to legally work in either the United States or Canada. The US base salary range for this full-time exempt position is $190,000-$235,000.

Dreaming big is in our DNA. It's who we are as a company. It's our culture. It's our heritage. And more than ever, it's our future. A future where we're always looking forward. Always serving up new ways to meet life's moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together - when we combine your strengths with ours - is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Data Scientist - Global Consumer Sentiment Index Location: Bangalore Reporting to: Product Manager - Global Consumer Sentiment Index 1. Purpose of the role We are seeking a skilled and business-savvy Data Scientist to contribute to the development of our global consumer sentiment analytics platform. This role is critical in ensuring our data science outputs are accurate, scalable, and business-relevant, with a strong focus on NLP and model optimization. The ideal candidate will bridge the gap between advanced data techniques and actionable business insights. 2. Key tasks & accountabilities * Apply and fine-tune NLP models for sentiment analysis, aspect extraction, translation, and classification on multi-source textual data. * Translate complex technical results into simple, decision-oriented insights for business teams. * Ensure high model accuracy and relevance through iterative optimization and performance testing. * Collaborate with functional stakeholders to understand use cases and refine problem statements. * Ensure proper data modeling aligned with AB InBev's data architecture; manage different data layers, handle data archiving, and continuously optimize the model as it matures. * Involve actively during the visualization phase to ensure that final dashboards align with user needs. * Collaborate with functional and technical teams to translate business questions into modeling approaches. * Integrate structured and unstructured data from various platforms (e.g., social, e-commerce, forums) to enrich outputs. * Maintain rigorous documentation of data science workflows and ensure reproducibility of results. * Support model deployment and handover for integration into Power BI, aligning with ABI data standards. * Operate in a high-pressure, fast-paced environment across a global project with multiple stakeholders, diverse markets, and high-volume datasets. Ability to manage expectations, adapt to evolving requirements, and deliver results across geographies is critical. * Work under the guidance of the Lead Data Scientist and support junior analysts when needed. Business Environment * Challenges * Lack of structured data; handle noise and ambiguity in user-generated content. * Deliver actionable insights within tight timelines and changing inputs. * Build scalable models that adapt across markets with unique consumer behaviors. * Evaluation Criteria * Quality, accuracy and impact of models as measured by stakeholder feedback and usage in decision-making. * Ability to communicate technical output clearly to non-technical stakeholders. * Delivery of milestones within agreed timelines for each project phase. * Continuous innovation and problem-solving initiative demonstrated in improving the models and insights. 3. Qualifications, Experience, Skills * Level of educational attainment required * Bachelor's or Master's in Data Science, Computer Science, Statistics, or a related quantitative field. * Previous work experience * 4 - 6 years in data science with hands-on experience in NLP projects. * Strong track record of working with social media, reviews, or consumer sentiment data. * Prior involvement in integrating models with BI platforms, ideally Power BI. * Experience working with CI/CD tools (e.g., Azure DevOps). * IT Skills: * Python (essential), SQL, R, ML/DL frameworks (TensorFlow, Scikit-learn, SpaCy, HuggingFace) * Experience with APIs (Twitter, Reddit, Facebook, YouTube, etc.) * Familiarity with cloud environments (Azure preferred) * Knowledge of Power BI integration and data pipelines * Technical Competencies: * Essential: * NLP, Sentiment Analysis, Topic Modeling, Text Classification * Python, SQL, Machine Learning, Model Explainability * API integration, Power BI readiness, data engineering fundamentals * Text preprocessing, tokenization, and vectorization * Sentiment analysis and topic modeling fundamentals * Efficient coding practices and code optimization * Working with multilingual corpora and translation APIs * Desirable: * Knowledge of social listening tools (e.g., Brandwatch, Talkwalker) * Advanced Data Visualization techniques * Experience with multilingual data sets And above all of this, an undying love for beer! We dream big to create future with more cheers.

Dreaming big is in our DNA. It's who we are as a company. It's our culture. It's our heritage. And more than ever, it's our future. A future where we're always looking forward. Always serving up new ways to meet life's moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together - when we combine your strengths with ours - is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Data Scientist - GBS Commercial Location: Bengaluru Reporting to: Manager - GBS Commercial 1. Purpose of the role * Use statistical and mathematical techniques to measure the impact of Promotions, Trade Programs, or Activations through Tests. Maintain python programming codes for the model which runs Test vs Control methodology * Conduct exploratory studies to identify opportunities to increase ROI for future promotions. * Optimize Sales package - Check spends Enhance, maintain python codes for the model which runs Test vs Control Strategy * Design and deploy mathematical models to create Store level target lists to implement optimal ROI promotions in the future. * Build recommendation models. * Add features on top of the model to create robust algorithm. * Communicate analysis results to business stakeholders through intuitive Power BI solutions. * Setting framework for analysis based on Business Objective, thorough with Business level presentations. * Build new AI & DS Products, Projects and effective Business Presentations and contribute to Business Target Achievements. 2. Key tasks & accountabilities * Expertise on Python to prepare & update algorithm. * Developing business-friendly presentations, transforming thoughts into key actions for business and showing the model to justify recommendations. * Expertise on Power BI to produce dashboards. * Understanding of SQL to connect Power BI to Datalake & create automated outputs/Dashboards. * Understanding the business problem and translating it into an analytical problem. Ability to solve problem quickly and effectively applying logical thinking and creative mindset. * Handling large data sets to connect data points and provide insights that drive business. * Be assertive and goal oriented and drive results with minimal support. * Skillset to convert unstructured data into structured format which optimizes time spent on data handling. * Hands-on experience in ML concepts like forecasting, clustering, regression, classification, optimization, deep learning * Product building experience would be a plus. * Interact with and present to Senior internal or external stakeholders around project/ service conceptualization and plan of delivery. * Ability to work in collaboration with multiple teams within GBS Commercial tower * Develop deeper understanding related to different concepts of Category Management. Plan and implement different projects with multiple teams in Category Management. BUSINESS ENVIRONMENT * Delivering insights and provocation as per timelines given * Following processes and adhering to documentation goal * High quality presentations * Questions from business stakeholders answered satisfactorily within agreeable time. * Coming up with provocation, proposing what if or next level * Challenges: Primary challenges include various sources of data, incomplete data which can throw off the analysis. Outliers to be removed and data to be cleaned before analyzing and presenting to stakeholders. 3. Qualifications, Experience, Skills Level of educational attainment required * Master Graduate in the field of Business & Marketing, Engineering/Solution or other equivalent degree or equivalent work experience * MBA/Engg. in a relevant technical field such as Marketing Previous work experience required * 2-3 and up years' experience handling Data science Projects * Prior experience in managing multiple files, data cleaning, and maintaining data in structured formats Technical skills required * Proficient in Python, Power BI, SQL, VBA, Advanced Excel, MS Office * Expert level proficiency in Python(knowledge of writing end-to-end ML or data pipelines in python) * Proficient in application of AI & ML concepts and optimization techniques to solve end-to-end business problems * Familiarity with Azure Tech Stack, Databricks, ML Flow in any cloud platform * Good understanding of Statistical and Mathematical concepts And above all of this, an undying love for beer! We dream big to create future with more cheers.

As a Data Scientist, you'll leverage your expertise in data analysis, machine learning, statistical modeling, and generative AI to develop and implement frameworks as part of the company's responsible AI function. You'll collaborate closely with model developers and other partners to ensure our AI-driven solutions comply with regulatory requirements and best practices in responsible AI. About the role * Design and implement metrics and testing methodologies to evaluate AI systems for responsible AI considerations * Research and implement state-of-the-art techniques in responsible AI * Perform disparate impact analysis on existing and new machine learning models * Audit existing and new machine learning models for model performance, impact and reliability * Develop tools for model developers to standardize model development lifecycle * Write new functions or applications to conduct analyses * Create and maintain documentation for model governance and regulatory compliance * Collaborate with business stakeholders to translate governance requirements into technical specifications * Contribute to the development of company-wide responsible AI guidelines and best practices * Mentor team members on responsible AI practices and methodologies * Apply sampling techniques to create representative datasets for model evaluation * Compare models using statistical performance metrics, such as loss functions or proportion of explained variance * Create graphs, charts or other visualizations to convey the results of data analysis * Deliver oral or written presentations of the results of model evaluation and data analysis to stakeholders * Communicate analyses, conclusions and solutions clearly to all audiences * Develop and evangelize best practices for model development, evaluation and maintenance * Drive the collection of new data and the refinement of existing data sources related to Responsible AI practices * Mentor and train associate data scientists About you * 3 years of experience working with large data sets in one or more of the following environments - Hadoop, AWS, Azure or GCP * 3 years of experience with statistical and data mining tools and methods * 3 years of experience with supervised models (e.g., regression, neural networks) and unsupervised techniques (clustering, PCA, SVMs) * 3 years of experience working with SQL * 3 years of experience working in a UNIX environment * 3 years of experience in at least one scripting language (e.g., BASH) * 3 years of experience in Python and at least one strongly typed language (e.g., C++, Java, etc.) * 3 years of experience with statistical packages * 3 years of experience providing predictive and prescriptive analytics in a business setting * Experience with model explainability techniques * Master's degree in mathematics, statistics, computer science or a related field or equivalent experience * Advanced understanding of data visualization libraries * Advanced understanding of statistical methodologies for modeling and business analytics What you'll get Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We've got your back. Check out our full list of Benefits and Perks. About us Rocket Mortgage was founded in 1985. Today, we're a Detroit-based, publicly traded company with a mission to Help Everyone Home. At Rocket Mortgage, we believe that home is more than the house you live in. Our wide variety of home loan options, tools and resources empower our clients to achieve their homeownership dreams. We're known as experts in the mortgage industry, but we're also innovators - we strive to create the best experiences for our clients from beginning to end. And we're not your typical employer. We're insistently different in how we look at the world and are committed to an inclusive workplace where every voice is heard. Apply today to join a team that offers career growth, amazing benefits and the chance to work with leading industry professionals. This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, The Pulse, at **************************.