Principal Data Scientist (US)

This position is Career Level 30P Home Based with a Role Classification of Fully Remote.

Salary range is dependent on factors such as geographical differentials, industry-based experience, skills, training, credentials, and other qualifications.

In the state of California, the salary range is $131,600 - $224,100. In the state of Colorado, the salary range is $119,600 - $203,700. In the state of Washington, the salary range is $131,600 - $224,100. In New York City, New York, the salary range is $143,500 - $244,400. In Westchester County, New York, the salary range is $143,500 - $244,400.

Benefits for this position include:

Eligibility for annual performance bonus Healthcare benefits 401(k), with company match Defined contribution retirement program Tuition reimbursement Company lease car program Paid time off

The role resides within VWFS’s Data Science & AI CoE team and focuses on end-to-end model development. It requires a proven track record of successful model development and quantifiable business impact. It is not primarily a data analytics or ML engineering role.

The Principal Data Scientist will lead high-impact initiatives that directly contribute to VWFS’s stated goal to become a data and AI-driven organization. Potential projects cover the entire spectrum of automotive finance, from automated decision-making to fraud detection and business process improvement.

• Lead data science product development, set standards, best practices, and innovation for the data science CoE (25%) • Experimentation, build, integration of data science solutions into core business processes and new opportunities (75%) Responsibilities will include:

• Definition and ongoing improvement of a machine learning environment • Develop and deploy AI models that impact business decisions • Establish best practices and governance routines to ensure adherence to model management policies, peer reviews, and compliance to our policy standards for privacy, ethics, and bias. • Bring relevant data science techniques, algorithms, and tools to your team • Provide technical oversight, help and mentorship to the junior data scientists on the team • Apply suitable techniques for model testing and tuning, to assess accuracy, fit, validity, and robustness • Innovate new ML methods in the data science space and drive change throughout the business • Contributes to code documentation, maintains playbooks, and provides timely progress updates • Help generate compelling hypotheses to drive new business creation