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Role: Senior Data Scientist with AI/LLM
Location: McLean, VA fully onsite
Key Responsibilities
Partner with business teams to understand complex problem statements and translate
them into AI enabled solutions
Extract, clean, and structure data from raw and heterogeneous sources to enable analytics
and GenAI use cases
Develop Python based prototypes and tools that leverage advanced analytics and
generative AI
Design and refine prompts to deliver reliable, explainable, and decision ready AI outputs
Collaborate with data, technology, and engineering partners to align prototypes with
production standards
Contribute reusable code, patterns, documentation, and demos to shared repositories to
enable scaling and reuse
Support testing, validation, and iteration of AI solutions prior to broader deployment
What Success Looks Like
Quickly grasps new problem domains and identifies practical paths forward
Produces high quality, well reasoned prototypes that solve real business needs
Elevates the quality and usability of data for multiple downstream use cases
Acts as a multiplier by enabling others to reuse and build on their work
Regards,
Stephen
Lead Talent Acquisition Specialist
Email :
Role: Senior Data Scientist with AI/LLM
Location: McLean, VA fully onsite
- Need only Locals & on W2 with F2F/Face 2 Face Interview availability if client requests
Key Responsibilities
Partner with business teams to understand complex problem statements and translate
them into AI enabled solutions
Extract, clean, and structure data from raw and heterogeneous sources to enable analytics
and GenAI use cases
Develop Python based prototypes and tools that leverage advanced analytics and
generative AI
Design and refine prompts to deliver reliable, explainable, and decision ready AI outputs
Collaborate with data, technology, and engineering partners to align prototypes with
production standards
Contribute reusable code, patterns, documentation, and demos to shared repositories to
enable scaling and reuse
Support testing, validation, and iteration of AI solutions prior to broader deployment
What Success Looks Like
Quickly grasps new problem domains and identifies practical paths forward
Produces high quality, well reasoned prototypes that solve real business needs
Elevates the quality and usability of data for multiple downstream use cases
Acts as a multiplier by enabling others to reuse and build on their work
Regards,
Stephen
Lead Talent Acquisition Specialist
Email :