Senior Data Scientist - AI & People Analytics

General Summary You’ll architect intelligent systems—not just models—translate complex workforce data into actionable insights and help shape our AI roadmap. If you thrive in ambiguity, own end‑to‑end solutions, and want to influence talent strategy, organizational design, and employee experience, we’d love to talk. Job Specifications Bachelor’s degree in a quantitative field required; advanced degree preferred. Minimum of 6 years of relevant analytical or data science experience. Demonstrated depth in multiple core data science disciplines (e.g., ML/statistics, data engineering, automation). Advanced SQL and data modeling experience across complex data environments. Proven ability to independently manage multiple initiatives and provide direction to others. Strong written and verbal communication skills. Experience working in regulated or complex operational environments preferred. Demonstrated leadership capability and a track record of delivering high-impact analytical solutions. Technical Specifications Hands-on experience with modern AI approaches (LLMs, embeddings, RAG, etc.) Vector databases (e.g., FAISS, Chroma) and RAG architectures GitHub (including GitHub Copilot) Web app frameworks (e.g., Streamlit, Dash, FastAPI) for building analytics products Primary Responsibilities Lead the development of advanced statistical, machine learning, and AI solutions that support strategic and operational decision-making.