Data Scientist NYC, NY or Remote
About the position
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.
- Requirements
- 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
- Nice-to-haves
- 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
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Apply Now