Senior Data Scientist
Lear Corporation Zobrazit všechny práce
- Plzeň, Plzeňský
- Trvalý pracovní poměr
- Plný úvazek
- 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 strategic mindset with 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 TensorFlow, PyTorch, or similar frameworks. and experience in MLOps and scalable deployment.
- Fluent English
- Willingness to travel (app. 30% of the worktime) across Europe and Africa region
- Flexible working hours
- Benefit package