Senior Data Scientist — Data Cloud Acceleration

Own model and analysis deliverables. Take a defined business problem and independently deliver a reliable model, analysis component, scoring workflow, or supporting dataset.

Translate business questions into analytical approaches. Ask clarifying questions, understand how the output will be used…

Build and test models quickly. Develop practical solutions using statistical methods, machine learning, deep learning, or existing models and services where appropriate.

Prepare trustworthy data. Profile, cleanse, join, and validate noisy datasets while checking completeness, freshness, distributions, nulls, duplicates, and match rates.

Experience applying statistical analysis and machine learning to real business problems.

Strong Python skills and familiarity with libraries such as pandas, scikit-learn, XGBoost, LightGBM, PyTorch, or TensorFlow.

Strong SQL skills and experience analyzing large datasets.

Experience with cloud data platforms such as Snowflake, Databricks, Athena, Hive, BigQuery, or similar technologies.