Senior Data Scientist (Pricing)

Job description

- Manage end-to-end ML projects: problem definition → solution → testing → deployment → support. - 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. Requirements: - 4+ years of experience as a Data Scientist (with specific experience in pricing tasks). - Experience managing end-to-end ML projects in production (from setup to support). - Excellent understanding of classical ML: feature engineering, boosting, classification/regression, cross-validation, threshold selection, calibration. - Experience with DL (PyTorch/TensorFlow): understanding of fine-tuning principles and model inference. - Python (product...