Data Scientist NYC, NY or Remote

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

>