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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Data Scientist - BMW Bank - **Company:** BMW - **Location:** Salt Lake City, UT, United States - **Experience:** Expert - **Salary:** $54,300.0 - $108,600.0 - **Contract:** Permanent contract - **Skills:** Big Data, Cluster Analysis, Data Governance, Extract Transform Load (ETL), Decision Support Systems, Generalized Linear Model, Apache Hadoop, Apache HBase, Apache Hive, Python (Programming Language), Machine Learning, Shell Script, SQL Databases, Tableau (Software), Enterprise Data Management, Model Validation, Information Technology, Data Analytics, Tools for Reporting, Data Pipelines - **Published:** July 15, 2026 - **Apply:** https://www.jobmonkeyjobs.com/career/27849873/Sr-Data-Scientist-Bmw-Bank-Utah-Salt-Lake-City-7451 ## About the Role * Bachelor's degree or equivalent experience and/or certifications with a preferred area of study in Data Analytics, Statistics, Mathematics, Computer Science, Economics, or similar quantitative field. * Minimum of 2 years of professional experience as a data scientist or similar in a corporate environment; to include the following: * Developing, training, tuning, validating, and deploying machine learning models using Python, R, and related analytical libraries to solve business problems involving prediction, classification, optimization, pricing strategy, and decision support. * Formulating target variables, engineering predictive features, selecting appropriate algorithms, reducing false positives, and evaluating model performance using metrics such as accuracy, precision, recall, lift, error rates, and business impact measures. * Applying, interpreting, and explaining statistical and quantitative models, including regression, multilevel modeling, generalized linear models, Poisson regression, ARIMA/time-series methods, clustering, and other advanced analytical techniques to support data-driven decision-making. * Building pricing prediction models, optimizing model outputs, and estimating financial or operational impact through applied machine learning initiatives, including auction price optimization, predictive analytics, and model-based business strategy recommendations. * Testing model assumptions, analyzing outputs, measuring relationships among variables, and identifying key drivers to generate actionable recommendations for business, operational, financial, or strategic decisions. * Designing, building, orchestrating, automating, and maintaining data pipelines and analytical workflows using Python, SQL, Shell scripting, Hadoop, Hive, HBase, or similar big data technologies to process enterprise-scale datasets. * Extracting, transforming, validating, and curating high-volume structured and semi-structured datasets from enterprise data platforms to support reporting, machine learning, dashboarding, operational monitoring, and data quality controls. * Creating, visualizing, and delivering dashboards, KPI reports, analytical summaries, and business intelligence solutions using Tableau, Python, and other reporting tools to communicate trends, performance metrics, and operational insights. * Curating KPI reports, building Tableau dashboards, and presenting analytical findings to improve stakeholder visibility, support leadership decision-making, and translating complex data outputs into clear business narratives. * Gathering business requirements, translating analytical questions into technical solutions, communicating findings, and partnering with technical and non-technical stakeholders to deliver scalable, data-driven solutions across business, technology, and analytics teams. * Preferences * Quantitative oriented Master's Degree * Additionally, as a position at an FDIC-insured financial institution: * 3+ years of experience at a US federally regulated financial institution, ability to demonstrate knowledge of credit risk and model risk management regulations, guidance and best practices. * 2+ years Financial Services or Automotive Industry experience. * 2+ years participating as a member of project teams using agile or waterfall methodologies. * 2+ years Data Governance / Management process application experience, i.e. Informatica EDC or equivalent training. * 2+ years ETL architecture and design experience. * 3-5 years of experience in IT, As part of the hiring process, you may be required to successfully pass a background check. A satisfactory completion of a background investigation including verification of education, prior employment, criminal history, credit check history, and pre-employment drug screen to the extent permissible under applicable state law, is a condition of your offer of employment and your continued employment. The results of your background investigation are satisfactory and acceptable in the sole judgement and discretion of BMW Shared Services, LLC. ## Description * Lead end-to-end data science initiatives, including data acquisition, cleansing, exploration, and analysis to generate actionable business insights. * Design, develop, and deploy predictive and prescriptive models using statistical methods and machine learning techniques to solve complex business problems. * Translate business needs into analytical solutions and communicate results through clear data storytelling and visualizations for both technical and non-technical stakeholders. * Partner with cross-functional teams and business stakeholders to identify opportunities, implement models, and drive data-driven decision making. * Serve as a subject matter expert in data science, model performance, and analytics, supporting governance, audits, regulatory requirements, and best practices. * Monitor, evaluate, and improve model performance, data quality, and analytical processes while contributing to tool selection, vendor management, and data governance initiative. * Provide strategic insights to improve revenue, reduce costs, optimize risk, and support business planning, including budgeting and performance tracking. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [MCP doesn’t suck — your agent does](https://www.wearedevelopers.com/videos/100202-mcp-doesn-t-suck-your-agent-does) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Reusing apps between teams and environments through Containers](https://www.wearedevelopers.com/videos/107-reusing-apps-between-teams-and-environments-through-containers) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary Austria](https://www.wearedevelopers.com/magazine/275-data-analyst-salary-austria) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)