Nexwave

Senior Data Scientist with AI / LLM(Need Only Locals with F2F)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist with AI/LLM in McLean, VA, for 12 months at a competitive pay rate. Required: 5–7 years of experience, strong Python skills, and expertise in LLM prompt design and end-to-end AI solutions.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 22, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
McLean, VA
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🧠 - Skills detailed
#Data Science #Programming #"ETL (Extract #Transform #Load)" #Deployment #Python #AI (Artificial Intelligence) #Documentation
Role description
Role: Senior Data Scientist with AI / LLM Location: McLean, VA – fully onsite Duration: 12 Months Must Have Qualifications : 5–7 years of relevant experience, strong Python programming skills, and an analytical mindset with a solid technical background. They must have hands-on experience designing, testing, and refining prompts for large language models (LLMs). Experience building end to-end AI solutions is a plus. 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