Senior Data Scientist

Driving the future of automotive. We’re Lear For You.

Lear, a global automotive technology leader in Seating and E-Systems, enables superior in-vehicle experiences for consumers around the world. Lear’s diverse team of talented employees in 38 countries is driven by a commitment to innovation, operational excellence, and sustainability. Lear is Making every drive better™ by providing the technology for safer, smarter, and more comfortable journeys. Lear, headquartered in Southfield, Michigan, serves every major automaker in the world.

Further information about Lear is available at  or on Twitter @Lear Corporation.

We are seeking a Senior Data Scientist with a strong background in data collection and analysis, as well as advanced machine learning and deep learning. This role requires leading data science projects from conception to deployment, mentoring junior team members, and collaborating with stakeholders across departments. Expertise in Python, data engineering pipelines, MLOps, and production‑grade model deployment is essential.

• Develop end‑to‑end Data Science Projects with clear, actionable insights identified (from data ingestion to model deployment in production environments).
• Drive the initiatives from ideation to design, building and deploying scalable models, deep learning architectures, defect detection, and NLP solutions.
• Work cross‑functionally with business stakeholders to define project scope, objectives, and success metrics, translating business needs into solutions.
• Define, along with the project manager and stakeholders' input, the key technical success criteria for the solution and business process.
• Collaborate closely with the Data & Digitalization team to make sure there is an overall data strategy defined.
• Partner with data engineering and Foundry teams to design scalable data pipelines.
• Ensure data quality, security compliance, and adherence to data privacy laws and the EU AI Act.

• Collaborate with other senior data scientists and mentor junior data scientists by providing technical guidance, defining necessary training to close skill gaps and supporting the development of their solutions.
• Lead technical reviews and guide best practices in data science methodologies.
• Drive experimentation and model performance improvements.
• Stay up to date in the latest technologies in ML and AI - Propose AI innovation projects that could solve observed business current challenges.

• Master’s or PhD in Computer Science, Statistics, Mathematics, Engineering, or related field.
• 5+ years of experience in data science or ML.
• Strong leadership and mentoring ability on technical subjects with excellent business and technical communication skills with a strategic mindset and hands‑on capability.
• Proven experience as a Senior Data Scientist or Lead Data Scientist. Proficiency in Python, R, SQL, and cloud platforms (AWS/Azure).
• Hands‑on with Tensor Flow, PyTorch, or similar frameworks and experience in MLOps and scalable deployment.
• Willingness to travel (app. 30% of the worktime) across Europe and Africa region.