Senior Data Scientist

About the role

Responsible for leading complex, high‑impact data science initiatives, leveraging advanced analytics, machine learning, and experimentation to drive business outcomes. Shapes modeling strategies, delivers scalable solutions, influences decision‑making through data‑driven insights, and mentors team members to enhance data science capabilities and best practices.

Key responsibilities

• Lead end‑to‑end delivery of complex, cross‑functional data science initiatives.
• Define problem frameworks and modeling strategies for ambiguous challenges.
• Design and guide experimentation approaches to drive decision‑making.
• Ensure scalability, robustness, and long‑term value of solutions.
• Collaborate with Data Engineering teams to shape data models, define data requirements, and improve data reliability for advanced use cases.
• Partner with ML Platform/Engineering teams to guide deployment strategies, ensure model performance in production, and support long‑term lifecycle management.
• Mentor and guide data scientists, improving team capability.
• Influence product, business, and strategic decisions through data insights.
• Establish best practices in modeling, experimentation, and reproducibility.
• Drive alignment across Data Science, Data Engineering, and ML Platform teams to ensure successful delivery and adoption of solutions.

Required profile

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field (or equivalent practical experience).
• Deep expertise in machine learning, statistics, and applied modeling.
• Strong experience designing scalable and impactful solutions.
• Advanced experimentation and analytical capabilities.
• Strong problem‑solving in ambiguous environments.
• Strong understanding of production ML systems and trade‑offs.
• Ability to design solutions with deployment and lifecycle in mind.
• Effective collaboration with engineering and platform teams.
• Ability to influence architectural decisions related to data, modeling, and deployment.
• 6‑8 years of experience in data science with a track record of delivering impactful solutions.