Senior, Data Scientist

Senior Data Scientist role focused on leading the applied AI and analytics lifecycle from problem framing through exploratory analysis, model development, and POC delivery. You will partner with stakeholders, run deep-dive analyses, and communicate insights to technical and non-technical audiences to drive enterprise decision-making.

• Lead applied AI and analytics lifecycle end-to-end
• Design and build prototype models and analytical tools
• Partner with business stakeholders to frame data-driven approaches
• Conduct deep-dive analyses for actionable insights and policy formulation
• Evaluate emerging AI/ML techniques including GenAI, LLMs, and optimization algorithms

Build prototype models and analytical tools using Python and SQL with libraries such as pandas, scikit-learn, PyTorch, and TensorFlow. Work across EDA, feature engineering, and model prototyping for classification, forecasting, or optimization, including evaluation via statistical inference, causal methods, and experimental design; assess GenAI/LLM applicability for business use cases.

The ideal candidate is a Senior Data Scientist with 3+ years of experience delivering data-driven proofs-of-concepts (POCs) and minimum viable models (MVPs). They are highly proficient in Python and SQL and have strong skills in exploratory data analysis, feature engineering, and prototyping models for classification, forecasting, or optimization, with a solid foundation in statistical inference, causal methods, and experimental design.