Senior Data Scientist (Pricing)

About the Role

Manage end-to-end ML projects: problem definition → solution → testing → deployment → support.

Responsibilities

• Work with data engineers to build datasets and define data requirements, and assess feasibility, risks, and constraints.
• Work with data analysts to design and analyze A/B tests: metrics, splits, interpretation of results, and recommendations for deploying solutions.
• Develop and train models (classic ML + DL), including solutions for text and image embeddings; conduct offline evaluation and error analysis.
• Deploy the model and code to production (Python service), support releases and integrations.
• Be responsible for model quality post-launch: metrics, monitoring, drift/degradation, improvement plans, and support procedures.