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Data Scientist

New York City, New York, United States

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Job Description

Data Scientist

Location: NYC, NY or Remote

Company: ESRhealthcare and EXEC STAFF RECRUITERS

Type: Full-time, Contract

Posted: 6 hours ago

About the Role: 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
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