JOB DESCRIPTION | Senior Applied AI & Data Scientist
Job Title: Senior Applied AI & Data Scientist
Location: Hybrid (CT, US)
Type: C2H
Skills Required:
· Strong Python and SQL skills; experience with ML libraries (e.g., scikit-learn, XGBoost, PyTorch/TensorFlow) and data science best practices.
· Hands-on experience with Snowflake (Snowpark and/or Cortex) and relational databases such as PostgreSQL.
· Experience with vector search/embeddings and knowledge retrieval patterns; familiarity with vector databases and hybrid search.
· Experience partnering with engineering on production services (APIs, batch/stream pipelines), monitoring, and CI/CD.
· Ability to define and run robust evaluation for models/LLMs (quality, safety, performance, cost) and translate into business KPIs.
Preferred:
· Financial services experience (life insurance, annuities, investments preferred) and familiarity with regulated model governance.
· Experience with legacy-to-cloud data modernization (e.g., IBM DB2 extracts) and integration tools (e.g., Talend) where relevant.
· Experience with ML lifecycle tooling (e.g., MLflow or equivalent), containerization (Docker), and API frameworks (FastAPI/Flask).
Education:
· 6+ years delivering advanced analytics and machine learning solutions, including production deployment.
· 2+ years delivering GenAI/LLM solutions (RAG, agents, evaluation/guardrails) in an enterprise environment.
Never miss an opportunity! Create an alert based on the job you applied for.