Data Scientist - Remote

About The Company

Volkswagen Financial Services (VWFS), a wholly-owned subsidiary of Volkswagen Group, is a leading provider of mobility solutions dedicated to supporting its brand partners, including Audi, Ducati, and Volkswagen. The company specializes in offering accessible mobility options through various financial services such as Retail Leasing, Retail Financing, Commercial Financing for both new and used vehicles, and End-of-Term vehicle disposition. With a focus on innovation and customer-centric solutions, VWFS aims to enhance the automotive ownership experience by leveraging advanced financial products and services. The organization is committed to fostering a dynamic and inclusive workplace, emphasizing continuous growth, technological advancement, and sustainable mobility initiatives.

About The Role

The Staff Data Scientist at Volkswagen Financial Services plays a pivotal role within the Data Science team, responsible for leading the development, implementation, and deployment of machine learning models that drive strategic business decisions. This is a remote, career-level position (29P) designed for an experienced professional with a strong background in data science and machine learning. The role involves working closely with cross-functional teams, including product management, business stakeholders, and leadership, to translate complex business problems into impactful analytical solutions. The ideal candidate will have extensive experience in handling large data sources, designing sophisticated algorithms, and deploying scalable AI models that influence operational and strategic outcomes. This position offers an excellent opportunity to contribute to innovative projects, influence business growth, and advance the company's data-driven culture.

Qualifications

• Bachelor's degree in Computer Science, Statistics, Economics, Engineering, Operations Research, or a related quantitative field
• 10+ years of professional work experience in data science or related fields
• At least 5 years of hands-on experience in data science, including developing and deploying machine learning models
• Proven expertise in algorithm tuning, model validation, and back-testing
• Extensive experience in extracting, curating, exploring, and analyzing large datasets
• Strong background in integrating machine learning solutions into business processes
• Excellent knowledge of machine learning models and analytical tools
• Ability to communicate complex data insights clearly to non-technical stakeholders
• Experience with A/B testing, causal analysis, and model evaluation
• Passion for innovative problem solving and data-driven decision making

Responsibilities

• Extract, curate, explore, and analyze data from large and complex data sources to identify patterns and insights (30%)
• Develop, deploy, and maintain AI and machine learning models that support business objectives (30%)
• Collaborate with stakeholders, product managers, and leadership teams to translate business requirements into practical analytical solutions (20%)
• Introduce and advocate for new machine learning methods, driving innovation and change within the organization (5%)
• Research new data sources, analytical tools, and contribute to the development of new applications and data quality initiatives (5%)
• Provide ongoing support to business units by delivering insights, reports, and recommendations (10%)

Benefits

• Eligibility for annual performance bonus
• Comprehensive healthcare benefits
• 401(k) retirement plan with company match
• Defined contribution retirement program
• Tuition reimbursement for continued education
• Company lease car program
• Paid time off and holidays

Equal Opportunity

Volkswagen Financial Services is an Equal Opportunity Employer. We welcome and encourage applicants from all backgrounds and do not discriminate based on race, sex, age, disability, sexual orientation, national origin, religion, color, gender identity/expression, marital status, veteran status, or any other characteristic protected by applicable laws. We are committed to fostering an inclusive environment where diversity is valued and all individuals have the opportunity to succeed. This role description is a general guideline and does not constitute a contractual obligation. The company participates in E-Verify, maintains a drug-free workplace, and performs pre-employment substance abuse testing.