Sr. Data Scientist - BMW Bank

SPREAD ENTHUSIASM. SHAPE THE FUTURE.SHARE YOUR PASSION.Knowing the destination isn't enough: you need to know how to get there. Build up your own networks, exploit new ideas, consistently take the initiative. Inspire other people with your enthusiasm. That's the only way to give ideas the power that allows them to become true innovations.

BMW Bank of North America, LLC, a subsidiary of BMW Financial Services NA, LLC, opened in 1999 in Salt Lake City, Utah. It is an industrial bank that provides in-house banking services to BMW and MINI customers, dealerships, and affiliates, including direct and indirect automotive retail installment contracts and credit card services. Be a part of our exciting growth by expressing an interest in our Sr.

Data Scientist position located in Salt Lake City, Utah or Columbus, OH. WHAT AWAITS YOU.Lead data discovery, preparation, and cleansing across multiple structured and unstructured sources to produce high-quality datasets for analysis.

Design, develop and deploy predictive and prescriptive models and algorithms (machine learning/statistical) to solve complex business problems and drive revenue, cost, and risk outcomes.

Translate business objectives into data science problems and communicate technical results through clear visualizations and data storytelling for non-technical stakeholders.

Collaborate with data engineers, data warehouse teams, product managers, IT, and other analytics teams to ensure model integration, monitoring, and production readiness.

Serve as the Bank’s subject-matter expert for analytics and SAS: lead SAS projects, support SAS server administration/maintenance, and participate in tool selection and vendor evaluations.

Support regulatory, audit, and governance activities by producing reports, responding to data requests, and contributing to Data Governance and model risk practices.

Mentor colleagues and drive analytics adoption and innovation (including process improvements, MDLC best practices, and Lean Six Sigma initiatives).WHAT YOU SHOULD BRING.Bachelor’s degree (or equivalent experience); quantitative fields preferred (Data Analytics, Statistics, Math, CS, Economics) and quantitative-oriented Master’s degree preferred.

Minimum 2 years’ professional experience as a data scientist or similar in a corporate environment.

Proficiency in statistical/model development and machine learning (e.g., linear/logistic regression, random forest, SVM, neural nets) and experience building/deploying ML solutions.

Strong programming and data tools experience (SAS, Python, R) and familiarity with ML libraries/frameworks (Tensor Flow, PyTorch).SQL expertise for complex queries (preferably MS SQL or PostgreSQL) and experience with data warehouse concepts (star schema/Kimball).

Experience with BI/reporting tools and dashboard development (e.g., Tableau, Qlik) and data preparation tools (Tableau Prep, Alteryx).Advanced SAS and SQL programming skills plus experience manipulating large datasets and validating data from multiple sources.

Preferences 3+ years’ experience at a US federally regulated financial institution with knowledge of credit risk and model risk management regulations.
2+ years’ experience in Financial Services or Automotive industry.

Experience with Data Governance tools/processes (e.g., Informatica EDC), ETL architecture, Hadoop and Apache Spark.
2+ years participating on project teams using Agile or Waterfall methodologies.
3–5 years of IT experience, and/or certifications such as Lean Six Sigma Black Belt or PMP.

Experience with SAS Visual Analytics, Tableau, and SAS installation/administration.

WHAT YOU CAN LOOK FORWARD TO.Medical, Dental, and Vision insurance
401(k) with Company match and Retirement Income Account Employee vehicle program

Bonu…