Senior Data Scientist owning the full ML lifecycle — from framing business questions and exploring messy data to training, validating, deploying, and monitoring models in production. Core stack: Python (Pandas, NumPy, scikit-learn), SQL, and cloud platforms (AWS/GCP/Azure), working closely with ML engineers and product teams.
Sign in to see your match