Data Analyst (Data Science) in Computer Vision

Requirements: Excellent knowledge of Python and ML stack: pandas, numpy, scikit-learn, boostings (CatBoost/LightGBM/XGBoost), SHAP. Good knowledge of deep learning and experience with PyTorch/TensorFlow. Strong applied statistics and validation design, including time series and leak control. Experience with feature engineering on event data (JSON, logs, lags, rolling aggregates). SQL at the level of complex queries. Good knowledge of Linux, Docker, and Git. Ability to explain results to the business without losing caveats. Will be a plus: ETL and orchestration, Parquet/ClickHouse, Spark/Polars/DuckDB. MLflow, CI/CD. English at the level of reading documentation and scientific articles.

**Location:**📍Office, Almaty.

Contact for application: recruiter contact with +CV and a short cover letter (experience with stack, salary expectations)