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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 (TensorFlow, 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
Bonus eligibility
Paid Parental Leave
Generous PTO and Company paid holidays
Voluntary Benefits to fit your needs

Relocation is available for this position.

This is a hybrid role that requires regular attendance in the Utah or Ohio office.

The expected salary range for this role is $78,000.00 - $122,000.00.

The selected candidate’s education, skills, experience, and location will be used to determine the final salary offer. All pay ranges are based on a full-time work schedule. This statement is in accordance with state and local pay disclosure requirements.

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.

Even more so than the generous compensation and benefits, the culture and values of BMW of North America makes it the ultimate working environment. These values are Responsibility, Appreciation, Transparency, Trust, and Openness. We allow these values to guide the way we conduct ourselves and our business.

BMW complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration‑related employment benefit for this role.

Applicants must be currently authorized to work in the United States on a full‑time basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for BMW support or sponsorship for any immigration‑related employment authorization (e.g., H‑1B, O‑1, E‑3, H‑1B1, TN, F‑1 OPT, F‑1 STEM OPT, F‑1 CPT, etc.) now or in the future.

If you will require BMW to provide immigration support or sponsorship now or in the future, you should not apply for this position.

BMW in the United States is an equal opportunity employer. It is the policy of BMW Group in the United States to provide equal employment opportunity (EEO) to all qualified persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

Legal Entity:

BMW Bank of North America Inc.

Location:

Salt Lake City, UT

Job Field:

Data Science

Job Id:

199083

Publication Date:

30.10.2026

BMW

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