OVERALL PURPOSE OF THE JOB
Join a team of data scientists to leverage data to improve operational efficiency and product quality, driving strategic decision‑making and product innovation, and delivering actionable insights for business leaders.
SCOPE OF THE POSITION
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 knowledge. 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.
MAIN RESPONSIBILITIES
- Model development and deployment: 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.
- Collaboration: 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 adherence to data quality standards and compliance to applicable security regulation, data privacy laws, EU‑AI intelligence Act and other applicable regulations where the solutions are developed and deployed.
- Leadership and mentorship: collaborate with other senior data scientists and mentor junior data scientists by providing technical guidance, defining necessary training to close skill gaps and supporting them during the development of their solutions.
- Lead technical reviews and guide best practices in data science methodologies.
- Innovation: 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.
REQUIREMENTS
- Master’s or PhD in Computer Science, Statistics, 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 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 TensorFlow, PyTorch, or similar frameworks; experience in MLOps and scalable deployment.
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