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Enterprise Data Scientist at BMW Group Financial Services NA, LLC in Hilliard, Ohio

Posted in General Business 30+ days ago.

Type: Full-Time





Job Description:

BMW Shared Services is posting this position on behalf of BMW Financial Services NA, LLC.

BMW Financial Services NA, LLC was established in 1993, supporting the sales and marketing of BMW products. Subsequently, we have expanded beyond the leasing, retail and commercial financing of a traditional captive-finance company offering a broad variety of products tailored for the BMW, MINI and Rolls-Royce customer. Be a part of our exciting growth by expressing interest in our Enterprise Data Scientist position located at our Hilliard, OH office.

As the Enterprise Data Scientist, you will be responsible for leading the SF2-US Data Science community, including primarily assisting the Lead Data Scientists in each business area. This role is responsible for promoting/teaching analytical, statistical, and programming skills to perform data discovery and support building predictive, prescriptive models utilizing machine learning algorithms to identify and solve business problems across SF2- US. You will establish and run the Data Science Service Center as the Center of Excellence for Financial Services in the US, while consulting with other markets around the globe.

The Enterprise Data Scientist will define and enforce the Model Development Life Cycle (MDLC) / MLOps and internal standards for model development, communicate to Executives and their direct reports of results in an easy and comprehensive way. This position will direct other Data Scientists and the rest of the data and analytical community across the organization. You will be responsible for steering SF2-US in Data Science tool selection and evaluation, support and consult SF2-US teams with custom data models and data science algorithms, as well as develop processes and tools to monitor and analyze model effectiveness and accuracy.

This role, will consult with teams on resolution of poor performing models, consult and support the Enterprise Analytics Architect with Data Science and advanced analytics best practices for operationalization. In addition, you will consult and support the Enterprise Data Strategist with the SF2-US Data Strategy regarding Data Science and advanced analytics and be responsible for advocating Data Sciences throughout the business and IT organization.

In support of BMW Group's business objectives, this position requires regular attendance at a BMW office/facility with remote work capability (hybrid). In-office days may be assigned by the line manager.

Join the BMW Financial Services team and enjoy a high-performance benefits package which includes:

• Company paid medical, dental and vision insurance

• Employee car program

• 401(k) savings plan

• Retirement Income Account (RIA)

Even more so than the generous compensation and benefits, the culture and values of BMW Financial Services make it the ultimate working environment. These values include, Responsibility, Respect, Trust, and Openness. We allow these values to guide the way we conduct ourselves and our business.

What are you waiting for? Put yourself in the driver's seat of your career and apply for our Enterprise Data Scientist position today! Requirements

B.A./B.S. degree in Statistics, Mathematics, Computer Science, Economics, or similar quantitative field.

Current or previous engagements with senior leadership and frequent executive communications (written and verbal).

Minimum of 7 years of professional experience in a corporate environment working with Data and Analytics, including:

• SQL

• Statistical model development and/or validation

• Building and deploying Statistical and Machine Learning (ML) solutions using various supervised/unsupervised ML algorithms. Examples: Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Random Forest, etc.

• Python and/or R programming, statistical packages, and ML libraries / frameworks like Tensor Flow, PyTorch etc.

• Data exploration and mining

• Data warehouse architecture, i.e., star schema, Kimball-based solutions

• ETL architecture and design experience

• 3 years of report & dashboard development using BI tools

• 3 years of leading cross-functional teams

• 3 years coaching and technical leadership

• 2 years leading and managing projects. Preferred using agile methodologies.

Preferences

Preferred quantitative oriented Master's degree in lieu of 2 years of Data Science corporate experience

• 5 years in the Financial Services or Automotive Industry

• 4 years participating as a member of project teams using agile methodologies

• 3 years using a data catalog like Informatica EDC





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