Requirements :

- An advanced degree (Ph. D. or M. S. preferred) in a quantitative discipline such as computer science, statistics, operations research, physics, or a related field.

- A minimum of 7-9 years of post-academic experience in applied science or quantitative research roles, with a demonstrable history of translating complex models into tangible business value.

- A distinguished track record of solving difficult, business-critical problems using a scientific, data-driven approach.

- Proven experience in programming, data manipulation, and building models in a business context.

- Sophisticated data visualization and presentation skills, with the ability to distill complex analytical results into clear, actionable insights for diverse audiences.

Ideal Candidate Profile :

- A profound intellectual curiosity and a systematic, first-principles approach to problem-solving.

- Domain expertise in the automotive industry or related fields such as finance or enterprise SaaS is highly desirable.

- Experience in specialized areas such as recommendation engines or advanced NLP is preferred.

- Exceptional communication and presentation capabilities, with a proven ability to distill complex technical concepts for executive-level audiences.

- A demonstrated ability to work collaboratively and effectively lead initiatives across multidisciplinary teams.

- A commitment to continuous personal and team development within a collaborative, high-performance culture.