SeniorDataScientist

* Lead end-to-end ML projects: task setting -> solution -> testing -> production -> support; * Work with data engineers to create datasets and data requirements, assess feasibility, risks, and limitations; * Participate in the design and analysis of A/B tests together with data analysts: metrics, splits, interpretation of results, recommendations for rolling out solutions; * Develop and train models (classic ML + DL), including solutions for text and image embeddings; conduct offline evaluation and error analysis; * Transfer the model and code to production (Python service), support releases and integrations; * Be responsible for model quality after launch: metrics, monitoring, drift/degradation, improvement plan, and support regulations **Requirements** * At least 4+ years as a Data Scientist; * Experience managing end-to-end ML projects in production (from setup to support); * Experience with DL (PyTorch/TensorFlow): understanding of fine-tuning principles, model inference; * Python (production quality): readable code, tests for critical components, understanding of model/artifact packaging and integration into the service; * Understanding of ML monitoring: quality metrics, drift, alerts, diagnostics, and support regulations; * SQL at the level of independent dataset assembly (joins, window functions); * Experience with model interpretability and error analysis; * MLflow / W&B / DVC or similar experiment tracking tools; * ML stack - classic machine learning algorithms / understanding of basic ranking approaches (pointwise, pairwise) and their practical application / experience with time series would be a plus; * Conversational English. **Benefits** * A fully flexible work schedule — there’s no pressure to start work at exactly 9:00 AM; what matters is achieving results and moving forward; * Each person in our team is encouraged to choose their preferred work format. You can work fully remotely, come to the office, or choose a hybrid work model; * We are an ambitio