Overview
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.
Responsibilities
* Model development and deployment: End-to-end data science projects with clear, actionable insights identified (from data ingestion to model deployment in production environments).
* Drive 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 ensure there is an overall data strategy defined.
* Partner with data engineering and Foundry teams to design solutions and ensure adherence to data quality standards.
* Ensure compliance with applicable security regulation, data privacy laws, EU-AI Act and other applicable regulations according to the region 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.
* Drive experimentation and model performance improvements.
* Stay up to date on the latest technologies in ML and AI.
* Propose AI innovation projects that could solve observed business 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 with excellent business and technical communication skills and 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.
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