Data Scientist NYC, NY or Remote

EXECUTIVE RECRUITERS
New York, NY, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Analysis Information Engineering Extract Transform Load (ETL) Data Warehousing Distributed Computing Environment HR Analytics Python (Programming Language) Machine Learning Standard Sql Search Technologies Scripting
+11 more
Retrieval-Augmented Generation Delivery Pipeline Large Language Models Prompt Engineering Apache Spark Generative AI Data Lakes Machine Learning Operations Software Version Control Human in the Loop Databricks

Requirements

Data Science, Data Science, Artificial Intelligence (AI), Predictive Modeling, Machine Learning, Python Programming/Scripting Language, Data Analysis, Statistics, Analysis Skills, Production Systems, > * § 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

About the company

ESR Healthcare

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