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