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# Data Scientist NYC, NY or Remote

- **Company:** EXECUTIVE RECRUITERS
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** 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, 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
- **Published:** November 7, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-scientist-nyc-ny-or-remote-ny--dded1db9-1a86-44dd-ade0-2afe41b788ee

## About the Role

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