Data Scientist NYC, NY or Remote

ESR Healthcare; New York (NY); Remote; USD 120,000 - 150,000; Full time

Job summary

A leading healthcare organization is seeking an experienced Data Scientist to focus on building scalable data and machine learning pipelines. This role requires over 5 years of experience and strong proficiency in Python and Databricks. The candidate will work closely with analytics teams to drive AI-driven insights and ensure communication of complex concepts to non-technical stakeholders. This opportunity is available for candidates based in New York, New York, or those looking for remote work options.

Qualifications

• 5+ years of experience in data science, data engineering, machine learning, or analytics.
• Advanced proficiency in Python with production-grade pipeline experience.
• Strong hands-on experience with Databricks in a production environment.

Responsibilities

• Build scalable, production-grade data and ML pipelines.
• Translate business questions into analytical approaches.
• Communicate insights to non-technical stakeholders.

Skills

Data science experience

Python proficiency

Generative AI experience

Databricks experience

Communication skills

Tools

Databricks

MLflow

SQL

Job description

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