Data Scientist Nyc, Ny or Remote

Data Scientist – NYC, NY or Remote Type: Contract About the Role We are seeking an experienced Data Scientist to join our AI &; Data Science team, with a strong emphasis on modern data engineering and platform-based development. This role focuses on building scalable, production-grade data and machine learning pipelines that power analytics, predictive models, and AI-driven insights across the firm, including work within our Databricks environment. Required Qualifications 5+ years of experience in data science, data engineering, applied machine learning, or advanced analytics roles Advanced proficiency in Python, with demonstrated experience building production-grade data, ML, or GenAI pipelines Hands‑on experience working with Generative AI or LLM‑based systems, including prompt design, evaluation, and application integration Strong grounding in data analysis, statistics, and exploratory analysis Experience translating business or domain questions into analytical approaches and communicating insights to non‑technical stakeholders Strong hands‑on experience with Databricks (Spark, notebooks, jobs, Delta Lake) in a production environment Solid understanding of data modeling, ETL/ELT patterns, and distributed data processing Experience deploying and maintaining machine learning models in production environments Excellent communication skills, with the ability to explain complex technical concepts clearly Preferred Skills Experience with MLflow, model registries, and experiment tracking Familiarity with version control and deployment workflows for data, ML, and GenAI solutions Experience with RAG architectures, vector databases, or semantic search Familiarity with GenAI evaluation techniques, including human‑in‑the‑loop review Knowledge of SQL and data warehousing concepts Experience supporting talent analytics, people analytics, executive assessment, or professional services use cases Ability to design analyses and narratives appropriate for senior consultant and executive audiences Experience working in regulated or enterprise environments with an emphasis on reliability, governance, and trust #J-18808-Ljbffr