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
>