onsite
Lead Data Scientist - MetLife
Data Scientist
Lead data science initiatives, building AI and predictive models to drive personalized customer experiences and strategic decisions using Python, machine learning, and advanced analytics.
About the role
Key Responsibilities
- Design, develop, and deploy scalable AI and predictive modeling solutions that inform business strategy and enhance customer personalization.
- Lead cross‑functional teams in translating complex data challenges into actionable insights and robust analytical frameworks.
- Collaborate with stakeholders to define data requirements, establish KPIs, and measure model performance across global regions.
- Mentor junior data scientists, fostering a culture of continuous learning and best practices in data science.
- Ensure data quality, governance, and compliance while integrating diverse data sources into unified analytical pipelines.
Requirements
- Advanced degree (MS/PhD) in Computer Science, Statistics, or related field with 5+ years of data science leadership experience.
- Proficiency in Python, machine learning libraries (scikit‑learn, TensorFlow, PyTorch), and SQL for data manipulation.
- Strong background in AI, predictive modeling, and advanced analytics applied to large, complex datasets.
- Experience with cloud platforms (AWS, Azure, or GCP) and data engineering best practices.
- Excellent communication skills, able to translate technical findings into business‑oriented recommendations.
Skills
pythonmachine learning