Data Scientist Jobs At Pfizer

Leeds Resources client is seeking a Lead Data Engineer to drive the development of scalable, high-performance data solutions. This leadership role requires deep technical expertise in modern data architectures, along with a strategic mindset to help evolve our enterprise data platform into a trusted, unified data lake house. The successful candidate will lead projects, mentor engineers, and collaborate cross-functionally to meet critical business needs. Key Responsibilities Strategic Data Architecture: Lead the design and implementation of data solutions aligned with the long-term vision of a centralized, enterprise-wide data lake house platform. Data Pipeline Design & Development: Architect and manage ELT pipelines using Azure technologies and Microsoft Fabric, ensuring seamless integration with existing systems and alignment with business requirements. Data Management & Optimization: Optimize data ingestion, storage, and transformation workflows in Fabric. Ensure scalable and performant solutions across structured and semi-structured data sets. Engineering Excellence: Develop robust, reusable data models and curated tables from diverse data sources. Ensure ingestion of third-party data meets data governance, lineage, and quality standards. Security & Integration: Collaborate with Information Security and Infrastructure teams to enforce data security policies and streamline data integration practices. Leadership & Mentorship: Guide and mentor junior data engineers. Foster a culture of innovation, collaboration, and technical excellence. Work with offshore teams to deliver business-critical solutions. Quality Assurance: Establish and enforce rigorous testing, validation, and monitoring processes to ensure the accuracy, reliability, and integrity of all data assets. Delivery & Prioritization: Lead the prioritization and execution of business-driven data initiatives, including executive reporting needs and ad hoc requests. Innovation & Continuous Improvement: Stay current with emerging data technologies. Contribute to the evolution of the enterprise data strategy and roadmap. Specifications Bachelor's required or Master's degree preferred in Computer Science, Data Science, Engineering, or a related field. 5+ years of hands-on experience in data engineering, with a strong track record in designing and delivering large-scale data solutions. Expertise in Python/PySpark for data processing and transformation. Proficiency in SQL, NoSQL databases, and data warehouse solutions. Strong experience with Azure data services, especially Data Factory and Microsoft Fabric. Proficiency in cloud platforms (Azure, AWS, GCP) and their integration with Fabric. Deep understanding of data modeling, data warehousing, and data architecture optimization. Experience with CI/CD practices and tools such as Azure DevOps. Prior experience in a data solution architect role is a strong plus. Strong analytical and problem-solving abilities with excellent communication and leadership skills.

Arlo Solutions (Arlo) is an information technology consulting services company that specializes in delivering technology solutions. Our reputation reflects the high quality of the talented Arlo Solutions team and the consultants working in partnership with our customers. Our mission is to understand and meet the needs of both our customers and consultants by delivering quality, value-added solutions. Our solutions are designed and managed to not only reduce costs, but to improve business processes, accelerate response time, improve services to end-users, and give our customers a competitive edge, now and into the future. Position Description: Arlo is seeking a highly skilled and motivated Data Scientist to support the National Oceanic and Atmospheric Administration (NOAA) National Marine Fisheries Service (NMFS) Cloud Program Office Initiative. In this role, you will analyze current data flow processes, IT environments, and technologies to develop recommendations that improve cost efficiency, streamline processes, enable shared services, and break down silos to enhance data interoperability and consolidation. You will work closely with NOAA stakeholders to prioritize initiatives, identify required resources, and deliver high-value cloud services that advance the mission of NOAA Fisheries. Clearance: Must have current and active Public Trust clearance Citizenship: US Work Location: REMOTE Responsibilities and/or Success Factors: Conduct an accelerated assessment of the existing data and cloud landscape using Starlo's proven templates and pre-built artifacts. Research and analyze the existing cloud program service offering catalog to understand current services offered, utilization, and alignment with organizational needs. Capture cloud and data-specific needs and challenges by engaging with key stakeholders to understand their requirements and pain points. Develop robust service delivery models for efficient and effective delivery of cloud services and data capabilities. Assist in the implementation and management of a centralized management platform to provide visibility and control over the cloud environment. Assist in the development of cloud-based AI capabilities and Machine Learning models. Ensure the integration of diverse data types (images, documents, video, audio) to support AI development. Ensure effective monitoring of data ingestion pipelines, staging, and production environments. Define and conduct evaluations against established KPIs. Conduct work using Agile methodology best practices to support design, development, testing, and deployment. Implement ETL pipelines and develop data transformation processes. Establish and support documentation standards and version control. Assist in the maintenance of a knowledge repository inclusive of SOPs, reporting, architecture diagrams, configuration guidelines, and network settings. Assist in the development and transition of Data & AI Proof-of-Concept solutions to production environments. Develop comprehensive documentation, knowledge transfers, and training. Advise in the development of data governance processes and policies for data lifecycle management. Establish standards and best practices for data integration and interoperability. Utilize generative AI technologies to facilitate data integration across schemas and taxonomies. Assist in the development of detailed designs for data ETL processes, data landing zones based on approved managed services. Oversee the deployment and validation of proof-of-concept to the configured landing zone. Implement processes for ongoing compliance with organizational policies and security controls. Minimum Required Qualifications, Including Certificates: Must have current and active Public Trust Clearance Clearance: Must have current and active Public Trust clearance US Citizenship. Bachelor's degree in data science, Computer Science, Information Technology, or a related field. Proven experience in business analysis and data science, particularly in working with data within a cloud environment Advanced knowledge of SQL Advanced knowledge and proven experience with Python Strong knowledge of cloud platforms such as Google Cloud. Experience with data analysis tools and techniques, including statistical analysis, data visualization, parallelization, and machine learning. Experience with cloud ETL processes, particularly Google DataFlow Experience with cloud data warehousing technologies, particularly BigQuery Experience with data wrangling processes. Experience with developing reports and visualizations. Excellent analytical, problem-solving, and communication skills. Ability to document technical processes clearly and concisely. Experience working with government agencies or in a regulated environment. AAP Statement We are proud to be an Affirmative Action and Equal Opportunity Employer and as such, we evaluate qualified candidates in full consideration without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, national origin, age, disability status, protected veteran status, and any other protected status.

We are seeking a talented and motivated Data Scientist to join our team. The ideal candidate will have 2-5 years of hands-on experience in the development and deployment of Machine Learning (ML) projects. Exposure to Computer Vision and Natural Language Processing (NLP), especially Large Language Models (LLMs), will be a significant advantage. Key Responsibilities: Develop, deploy, and optimize ML models for prediction and forecasting tasks on tabular/text datasets. Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. Perform data preprocessing, feature engineering, and exploratory data analysis (EDA) to support model development. Build and deploy end-to-end ML pipelines, including model training, evaluation, and serving in production environments. Monitor and maintain deployed models to ensure robustness, scalability, and performance over time. Implement feedback loop into prediction. Drive innovation: Explore, experiment with, and integrate cutting-edge ML techniques and frameworks into projects. Experience in Computer Vision, NLP, and LLMs in production environment will be a plus. Exposure to data volume extremes (high volume, constrained volume) will be a plus. Document workflows, methodologies, and findings for both technical and non-technical stakeholders. Key Skills and Qualifications: Core Expertise: Proficiency in Python and popular ML libraries such as Scikit-learn, TensorFlow, or PyTorch. Strong understanding of supervised and unsupervised ML algorithms. Hands-on experience with model deployment tools such as Docker, Flask, FastAPI, or cloud-based ML services (AWS SageMaker, GCP Vertex AI, etc.). Proficiency in working with structured/unstructured data, SQL. Added Advantage: Experience in Computer Vision (e.g., OpenCV, YOLO, or related frameworks). Exposure to NLP/LLMs (e.g., Hugging Face, GPT, or BERT). Familiarity with MLOps practices, CI/CD pipelines for ML, and model monitoring (MLFlow). General Skills: Strong problem-solving skills and attention to detail. Excellent communication skills to convey technical concepts to diverse audiences. Ability to work in a fast-paced environment and manage multiple priorities effectively. Education: Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, or related fields. A strong academic pedigree is highly preferred. Experience Level: 2-5 years Location: Bengaluru Job Segment: Engineer, Scientific, Engineering

We are seeking a data scientist with at least 1 year of experience working with large data sets and 10 years of total professional experience. This role is expected to translate business objectives into actionable data analysis and communicate findings clearly to technical and non-technical audiences Job Description Required • Analytical thinking; • Understanding of statistics fundamentals; • In-depth knowledge on the Hadoop stack (Map reduce, HDFS, Hive, Pig); • In-depth knowledge on machine learning methods; • Experience with scripting languages such as Python; • Understanding of main statistical methods; • Understanding of sampling techniques; • Understanding of descriptive and inferential statistics concepts; • Business domain experience in one of the following areas: retail, enterprise mobility, healthcare; Qualifications • B.Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required • M.Sc. / Ph.D degree in related field is desirable. Additional Information All your information will be kept confidential according to EEO guidelines.

INFICON is a leading provider of Smart Manufacturing/Industry 4.0 software solutions that enhance productivity and quality of tools, processes, and complete factories, as well as innovative instrumentation, critical sensor technologies. These analysis, measurement and control products are essential for gas leak detection in air conditioning/refrigeration and automotive manufacturing. They are vital to equipment manufacturers and end-users in the complex fabrication of semiconductors and thin film coatings for optics, flat panel displays, solar cells and industrial vacuum coating applications. Other users of our vacuum-based processes include the life sciences, research, aerospace, packaging, heat treatment, laser cutting and many other industrial processes. We also leverage our expertise in vacuum technology to provide unique, toxic chemical analysis products for emergency response, security, and environmental health and safety. Job Description We're seeking a versatile Data Scientist / LLM Engineer who is passionate about solving real-world semiconductor manufacturing problems with advanced analytics, machine learning, and large language models (LLMs). You'll join a high-impact team to build, fine-tune, and integrate LLM-powered solutions into production systems that deliver measurable value and delight our large customer base of manufacturing facilities around the world. Responsibilities Design, develop, and deploy machine learning features and applications with a focus on LLM-based solutions (e.g., RAG systems, analytical chat bots, plain language data analysis). Collaborate with cross-functional teams to understand business needs and translate them into modern LLM solutions. Prototype and scale natural language processing (NLP) systems using state-of-the-art tools (e.g., LangChain/LangGraph, Ollama, etc.). Contribute to internal frameworks for data pipelines, inference services, and model governance. Own pathfinding work to understand and execute on deployment options for LLM-based applications at customer sites. Conduct data wrangling, feature engineering, and model evaluation on structured and unstructured datasets. Qualifications Requirements 3+ years experience in Semiconductor Manufacturing Strong proficiency in Python and data science libraries (e.g., pandas, NumPy, scikit-learn). Hands-on experience with LLMs and NLP toolkits (e.g., LangChain, LangGraph, etc.). Familiarity with modern LLM architectures (e.g., GPT, LLaMA, Claude) and prompt engineering strategies. Experience with cloud platforms (e.g., AWS or Azure) and ML ops tools (e.g., MLflow, Docker, FastAPI). Proven ability to translate ambiguous problems into clear analytical solutions. Bachelor's degree in Computer Science, Engineering, Statistics, or a related field. Master's or PhD preferred. Preferred Qualifications Experience with Retrieval-Augmented Generation (RAG), vector databases (e.g., ChromaDB, Pinecone), and embeddings. Experience with Oracle, SQL & PL/SQL Exposure to or experience in web application development and familiarity with frameworks like .NET Applied Industrial Engineering / Factory Operations experience Prior work integrating LLMs with web apps or internal enterprise tools. Experience with fine-tuning or distillation of transformer models. Experience developing MCP servers Contributions to open-source projects or publications in NLP/ML. Additional Information The expected salary range for this position is between $90,000 and $140,000 per year. In addition, INFICON employees are eligible for a profit sharing bonus with a target of 10%. The actual compensation will be determined based on experience, location, and other factors permitted by law. INFICON provides a dynamic work environment that promotes diversity, equity, and inclusion. Our employees experience ongoing green initiatives, flexible work hours, and a variety of health and wellness programs. INFICON's forward-thinking approach offers countless opportunities to design, support, and manufacture a diverse product portfolio that expands globally. Our Lean and Agile work environment offers competitive compensation, relocation assistance, a discretionary bonus, and generous employee benefits; major medical, dental, health, vision, 401K, vacation and sick time, tuition reimbursement, and more! INFICON is committed to ensuring that our online application process provides an equal opportunity to all job seekers that apply without regard to race, religion, ethnicity, national origin, citizenship, gender, age, protected veteran status, disability status, genetic information, sexual orientation, or any other protected characteristic. A notice describing Federal equal employment opportunity laws is available here to reaffirm this commitment. Any contact that would like to request a reasonable accommodation to participate in the application process should contact [email protected] . INFICON, Inc. strictly complies with all aspects of the Export Administration Regulations ('EAR'), including those sections dealing with deemed exports to foreign nationals.

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.

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.

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 Principal Data Scientist is a highly experienced and strategic role whose purpose is to drive our machine learning and advanced analytics initiatives. The role will lead the design and development of high-impact models, mentor team members, and work closely with cross-functional stakeholders to deliver scalable solutions that align with business priorities. What you'll do Lead the development and deployment of predictive and prescriptive models across business domains Define technical standards and best practices for data science work Collaborate with engineering and business teams to ensure models are impactful and production-ready Guide junior data scientists and contribute to overall team capability building Communicate complex analytical results to non-technical audience Who you are Bachelor's or Master's in Data Science, Statistics, Computer Science, or a related field 8+ years of experience in data science or machine learning roles Strong knowledge of statistical modeling, machine learning algorithms, and experimentation frameworks Proficiency in Python, SQL, and cloud-based ML tools (e.g., Vertex AI, SageMaker) Excellent communication and leadership skills 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. **********************************************************************************

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.

This role applies knowledge of statistics, machine learning, programming, data modeling and advanced mathematics to recognize patterns, identify opportunities, pose business questions and make valuable discoveries leading to increased efficiency and productivity. Data analysis may be applied to various areas of the business (e.g, Manufacturing, Supply Chain, Marketing/Advertising, etc.). Responsibilities * Develop and maintain statistical models capable of extracting valuable business insights from large data sets. * Proactively participate in developing scalable Business Intelligence (BI) solutions using a variety of techniques ranging from data aggregation to data mining. * Assist with conducting needs assessment and requirements gathering to design and assist in deploying data analytics solutions. * Perform data manipulation and analytics and translate insights into actionable recommendations to management. * Prepare presentations and reports of statistical concepts and research results related to efficiency initiatives to be shared with a non-statistical audience and senior stakeholders. * Develop and maintain the department's operational efficiency and productivity KPI targets. * Facilitate training and education of associates related to new systems and procedures. * Create standards for process improvement projects using Data Analytics and Statistical Analysis Theory. * Apply statistical expertise to advance current and future regional initiatives. * Maintain current knowledge of industry trends in the field of Big Data Analytics by attending related seminars, conferences and training sessions. * Perform other duties as assigned. Qualifications * Bachelor's degree in math, statistics, computer science, software engineering or a related field required; Master's degree preferred. * 0-3 years of relevant experience required. * Experience using programming languages like C, C++, Java, Java Script, R, SQL, Python and basic IoT tools and concepts (e.g. Hadoop, OPC UA/DA, API, MATLAB etc) required. * Experience with databases and large data sets and related reporting tools. * Analytical skills with an ability to independently evaluate and develop innovative solutions to complex situations. * Written and verbal communication skills and presentation skills. Ability to communicate with internal and external customers on issues of moderate to considerable importance, up to and including senior management. * Demonstrated ability to foster and maintain relationships with an ability to work as part of a cross functional team. * Proficiency in Microsoft Office products such as Word, Excel and PowerPoint. * Continuous improvement mindset. * Ability to apply process improvement planning and checking to own work output and to assist others with identifying gaps in work results. Salary $90,000-$113,000. Benefits Summary * Health, Dental, Vision, Prescription Drug plans * Life and Accidental Death & Dismemberment Insurance * Flexible Spending Account * Employee Assistance Program * 401K with 4% company match * Bonus Program * Wellness Program * Onsite Fitness Center (vary by location) * Tuition Reimbursement * Career Development and Ongoing Training * Paid holidays and vacation * Cafeteria and food markets (vary by location) * Volunteer opportunities * Employee recognition (employee and milestone events)

This role applies knowledge of statistics, machine learning, programming, data modeling and advanced mathematics to recognize patterns, identify opportunities, pose business questions and make valuable discoveries leading to increased efficiency and productivity. Data analysis may be applied to various areas of the business (e.g, Manufacturing, Supply Chain, Marketing/Advertising, etc.). Responsibilities Develop and maintain statistical models capable of extracting valuable business insights from large data sets. Proactively participate in developing scalable Business Intelligence (BI) solutions using a variety of techniques ranging from data aggregation to data mining. Assist with conducting needs assessment and requirements gathering to design and assist in deploying data analytics solutions. Perform data manipulation and analytics and translate insights into actionable recommendations to management. Prepare presentations and reports of statistical concepts and research results related to efficiency initiatives to be shared with a non-statistical audience and senior stakeholders. Develop and maintain the department's operational efficiency and productivity KPI targets. Facilitate training and education of associates related to new systems and procedures. Create standards for process improvement projects using Data Analytics and Statistical Analysis Theory. Apply statistical expertise to advance current and future regional initiatives. Maintain current knowledge of industry trends in the field of Big Data Analytics by attending related seminars, conferences and training sessions. Perform other duties as assigned. Qualifications Bachelor's degree in math, statistics, computer science, software engineering or a related field required; Master's degree preferred. 0-3 years of relevant experience required. Experience using programming languages like C, C++, Java, Java Script, R, SQL, Python and basic IoT tools and concepts (e.g. Hadoop, OPC UA/DA, API, MATLAB etc) required. Experience with databases and large data sets and related reporting tools. Analytical skills with an ability to independently evaluate and develop innovative solutions to complex situations. Written and verbal communication skills and presentation skills. Ability to communicate with internal and external customers on issues of moderate to considerable importance, up to and including senior management. Demonstrated ability to foster and maintain relationships with an ability to work as part of a cross functional team. Proficiency in Microsoft Office products such as Word, Excel and PowerPoint. Continuous improvement mindset. Ability to apply process improvement planning and checking to own work output and to assist others with identifying gaps in work results. Salary $90,000-$113,000. Benefits Summary Health, Dental, Vision, Prescription Drug plans Life and Accidental Death & Dismemberment Insurance Flexible Spending Account Employee Assistance Program 401K with 4% company match Bonus Program Wellness Program Onsite Fitness Center (vary by location) Tuition Reimbursement Career Development and Ongoing Training Paid holidays and vacation Cafeteria and food markets (vary by location) Volunteer opportunities Employee recognition (employee and milestone events)

Under moderate supervision, applies knowledge of statistics, machine learning, programming, data modeling and advanced mathematics to recognize patterns, identify opportunities, pose business questions and make valuable discoveries leading to increased efficiency and productivity. Data analysis may be applied to various areas of the business (e.g, Manufacturing, Supply Chain, Marketing/Advertising, etc.). Roles and Responsibilities: * Develops and maintains statistical models and machine learning models capable of extracting valuable business and/or technical insights from large data sets. * Proactively participates in developing scalable Business Intelligence (BI) and predictive analytics solutions using a variety of techniques ranging from data aggregation to data mining. * Assists with conducting needs assessment and requirements gathering to design and assist in deploying data analytics solutions. * Performs data manipulation and analytics and translates insights into actionable recommendations to management and customers. * Prepares presentations and reports of statistical concepts and research results related to efficiency initiatives to be shared with a non-statistical audience and senior stakeholders. * Facilitates training and education of associates related to new systems and procedures. * Creates standards for process improvement projects using Data Analytics and Statistical Analysis Theory. * Applies statistical expertise to advance current and future regional initiatives. * Maintains current knowledge of industry trends in the field of Big Data Analytics by attending related seminars, conferences and training sessions. * Performs other duties as assigned. Skills and Abilities: * Proficient with databases and large data sets and related reporting tools * Understands and supports MLOps practices * Proficient with Cloud Based Data Science Tools and Processes * Comfortable interacting with Management and Engineering staff to use Data Science to bring ideas and analysis into production products * Understands IoT Best Practices with knowledge of deploying machine learning models to IoT Devices * Analytical skills with an ability to independently evaluate and develop innovative solutions to complex situations * Written and verbal communication skills and presentation skills. Ability to communicate with internal and external customers on issues of moderate to considerable importance, up to and including senior management. * Demonstrated ability to foster and maintain relationships with an ability to work as part of a cross functional team * Continuous improvement mindset * Ability to apply process improvement planning and checking to own work output and to assist others with identifying gaps in work results Required Qualifications: * Requires Bachelor's degree in math, statistics, computer science, software engineering or a related field * 2-5 years of relevant experience. Preferred Qualifications: * Master's degree in math, statistics, computer, science, software engineering ora related field. * Experience using programming languages like C, C++, Java, Java Script, R, SQL, Python and basic IoT tools and concepts (e.g. Hadoop, OPC UA/DA, API, MATLAB etc) * Successfully helped bring products to market supported by data science. * Experience with Computer Vision, capable to develop & deploy Artificial Intelligence (AI) algorithms. * Automotive Experience Salary Range: * $103,900 - $129,800 Benefits Summary: * Health, Dental, Vision, Prescription Drug plans * Life and Accidental Death & Dismemberment Insurance * Flexible Spending Account * Employee Assistance Program * 401K with 4% company match * Bonus Program * Wellness Program * Onsite Fitness Center (vary by location) * Tuition Reimbursement * Career Development and Ongoing Training * Paid holidays and vacation * Cafeteria and food markets (vary by location) * Volunteer opportunities * Employee recognition (employee and milestone events) At DENSO: DENSO is an advanced mobility supplier and global Fortune 500 company. Here, we innovate, create and make things to change how the world moves. We develop technology and components for major automakers worldwide, which you can find on nearly every vehicle make and model on the road today. At our core, DENSO wants to make the world a better place. And, we have the ability to do so using our broad product portfolio, which spans mobility electronics, thermal systems, electrification systems, powertrain systems, sensors & semiconductors, and non-automotive businesses. We're far reaching: Globally headquartered in Japan, we have 170K+ employees across 221 facilities in 35countries across the globe. Here in North America, our headquarters is in Southfield, Michigan. Last year, we had$47.6 billion in global consolidated revenue with North America contributing $10.9 billion. Link to company DEI page - Diversity & Inclusion | Craft Your Career at DENSO | Careers | DENSO US/Canada Website

Who We Are: Since 1906, New Balance has empowered people through sport and craftsmanship to create positive change in communities around the world. We innovate fearlessly, guided by our core values and driven by the belief that conventions were meant to be challenged. We foster a culture in which every associate feels welcomed and respected, where leaders and creatives are inspired to shape the world of tomorrow by taking bold action today. JOB MISSION: The Senior Data Scientist - Manufacturing Innovation will drive all aspects of AI/ML initiatives being developed, validated, and launched by the Manufacturing Innovation team. This role requires machine learning deployment experience in both team and independent settings. You will formulate strategies and goals for Descriptive, Predictive, and Prescriptive analytics to support the development and validation of new capabilities. You will set expectations for production reliability and execution while directing a team of data scientists/analysts to extract valuable insights from multiple data pipelines across the MADE manufacturing operation. You will leverage your experience in a manufacturing environment to aid in the transformation of actionable analytics at New Balance. MAJOR ACCOUNTABILITIES: • Drive end-to-end AI/ML model development and deployment into production environments, ensuring scalability, maintainability, and business impact • Lead the development of data analytics profiles for each new MI capability, focusing on Descriptive and Predictive data with an eye towards consumer insights • Solve complex, ambiguous data problems by applying creative problem-solving approaches and technical expertise • Partner with cross-functional stakeholders and up/downstream users to ensure data is accurately collected, clear, and provides actionable results • Lead cross-functional teams in defining criteria required to build profiles that influence the design, prototyping, and manufacturing of new components • Develop collection methods and transform data streams from existing manufacturing processes into understandable and actionable information for decision-making REQUIREMENTS FOR SUCCESS: • MS or equivalent experience in data science or related engineering discipline • Minimum 8 years of experience in data science, with at least 3 years focused on deploying machine learning models to production environments • Experience in footwear or manufacturing environments strongly preferred • Proven ability to apply statistical/machine learning approaches to solve industry problems and provide actionable insights • Proficiency with Git for collaborative development and CI/CD • Strong command-line interface (CLI) skills for efficient data processing and workflow automation • Familiarity with MLOps practices and tools for managing ML lifecycle • Experience with containerization and orchestration technologies (Docker, Kubernetes) • SQL knowledge & proficiency with cloud platforms (AWS, Azure, GCP) • Background in IoT data processing and analytics Regular Associate Benefits Our products are only as good as the people we hire, so we make sure to hire the best and treat them accordingly. New Balance offers a comprehensive traditional benefits package including three options for medical insurance as well as dental, vision, life insurance and 401K. We also proudly offer a slate of more nontraditional perks - opportunities like online learning and development courses, tuition reimbursement, $100 monthly student loan support and various mentorship programs - that encourage our associates to grow personally as they develop professionally. You'll also enjoy a yearly $1,000 lifestyle reimbursement, 4 weeks of vacations, 12 holidays and generous parental leave, because work-life balance is more than just a buzzword - it's part of our culture. Temporary associates are provided three options for medical insurance as well as dental and vision insurance and an associate discount. Part time associates are provided 401k, short term disability, a yearly $300 lifestyle reimbursement and an associate discount. Flexible Work Schedule For decades we have fostered a unique culture founded on our values with a particular focus on in-person teamwork and collaboration. Our North American hybrid model encourages rich in-person experiences, showcasing our commitment to teamwork and connection, while maintaining flexibility for associates. New Balance Associates currently work in office three days per week (Tuesday, Wednesday, and Thursday). Our offices are fully open, and amenities are available across our North American office locations. To continue our focus on hybrid work we have introduced “Work from Anywhere” (WFA) for four weeks per calendar year. This model will help us enhance our culture while continuing to maintain elements of flexibility. Equal Opportunity Employer New Balance provides equal opportunities for all current and prospective associates and takes affirmative action to ensure that employment, training, compensation, transfer, promotion and other terms, conditions and privileges of employment are provided without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, handicap, genetic information and/or status as an Armed Forces service medal veteran, recently separated veteran, qualified disabled veteran or other protected veteran.

As passionate about our people as we are about our mission. What We're All About: Q2 is proud of delivering our mobile banking platform and technology solutions, globally, to more than 22 million end users across our 1,300 financial institutions and fintech clients. At Q2, our mission is simple: Build strong, diverse communities by strengthening their financial institutions. We accomplish that by investing in the communities where both our customers and employees serve and live. What Makes Q2 Special? Being as passionate about our people as we are about our mission. We celebrate our employees in many ways, including our “Circle of Awesomeness” award ceremony and day of employee celebration among others! We invest in the growth and development of our team members through ongoing learning opportunities, mentorship programs, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun. We hold an annual Dodgeball for Charity event at our Q2 Stadium in Austin, inviting other local companies to play, and community organizations we support to raise money and awareness together. The Job At-A-Glance: The Risk & Fraud team at Q2 is responsible for helping our customers take a proactive stance against fraud and managing the risks of their business. We build and enhance products that evolve with the ever-changing fraud landscape, delivering tangible value for our customers. Our solutions enable them to focus more of their time and energy on their mission: best serving their customers and communities. A Typical Day: As a Data Scientist on the team, you will work on challenging problems and own projects from end-to-end. You will work closely with other data scientists, machine learning engineers, and software engineers to deliver valuable solutions to our customers. In addition, there is opportunity to grow into technical leadership, helping to build new architecture and improve tooling and processes for the team. Your key responsibilities: Problem definition and requirement refinement. Data exploration, solution prototyping, and model development. Understanding and troubleshooting adjacent systems, including upstream data pipelines and downstream UIs. Testing, monitoring, gathering feedback from customers, and bug fixes. You are more likely to excel in the role if you: Enjoy autonomy in your work and feel a sense of ownership in the team's goals. You work quickly but with the big picture in mind. Have empathy for the end user and a desire to measure your work by both the customer value and technical quality. Have enthusiasm for the field and professional development. Bring Your Passion, Do What You Love. Here's What We're Looking For: Typically requires a Bachelor's degree in a relevant field and a minimum of 2 years of related experience; or an advanced degree; or equivalent related work experience. Proficient in Python and SQL Familiarity with cloud-native, service-oriented architectures. Experience with most aspects of the software development life cycle. Version control with Git. Experience with machine learning algorithms and packages This position requires fluent written and oral communication in English. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Health & Wellness Hybrid Work Opportunities Flexible Time Off Career Development & Mentoring Programs Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents Community Volunteering & Company Philanthropy Programs Employee Peer Recognition Programs - “You Earned it” Click here to find out more about the benefits we offer. How We Give Back to the Community: You can learn more about our Q2 Spark Program, Q2 Philanthropy fund, and our employee volunteering programs on our Q2 Community page. Q2 supports dozens of wide-reaching organizations, such as the African American Leadership Institute, and The Trevor Project, promoting diversity and success in leadership and technology. Other deserving beneficiaries include Resource Center helping LGBTQ communities, JDRF, and Homes for our Troops, a group helping veterans rebuild their lives with specially adapted homes. At Q2, our goal is to be a diverse and inclusive workforce that fosters mutual respect for our employees and the communities we serve. Q2 is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Applicants in California or Washington State may not be exempt from federal and state overtime requirements

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 **************************.