

Senior Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist on a 12-month W2 contract, remote with quarterly onsite in Reston, VA. Key skills include NLP, SQL, Python, and data engineering. Requires 5+ years in Data Science and a relevant bachelor’s degree.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 2, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Remote
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Reston, VA
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Scala #Data Mining #Data Engineering #NLP (Natural Language Processing) #API (Application Programming Interface) #AWS (Amazon Web Services) #SQL (Structured Query Language) #Data Science #Data Modeling #Scripting #ML (Machine Learning) #Python #Indexing #AI (Artificial Intelligence)
Role description
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Position: Senior Data Scientist
Location: Remote (Quarterly onsite to Reston, VA – reimbursed if not local)
Type: 12-month contract (Possible extension)
Reports To: Hiring Manager overseeing GenAI/Data Science initiatives
Interview Process: 2 rounds (1: Hiring Manager | 2: Technical Panel)
Type of Hire: ONLY W2 contract
Core Responsibilities
• Lead NLP-driven GenAI projects, e.g., converting scripts to natural language.
• Work on existing projects and launch new initiatives across data science.
• Perform data mining, feature extraction, profiling, and algorithm application.
• Translate AI/ML outputs into business-focused narratives.
• Develop scalable software & AI solutions integrating across enterprise platforms.
Technical Must-Haves
• NLP & LLMs: Semantic parsing, code-to-text, summarization, prompt engineering, text transformation
• SQL scripting: Strong across multiple dialects; advanced relational data modeling
• Python: Proficient scripting including ML/AI workflows and APIs
• Data Engineering: Indexing, modeling, pipelines
• LLM Awareness: Familiarity with major models (e.g., GPT, Claude, Gemini, etc.)
• APIs: RESTful API integration across platforms
Nice-to-Haves
• Healthcare domain experience
• Fine-tuning LLMs, embeddings, RAG, Agentic AI
• AWS ecosystem experience
• Cross-functional collaboration in large enterprise settings
Required Education & Experience
• Bachelor’s in CS, Stats, Math, or equivalent
• 5+ years in Data Science (or 9+ without degree)
• Strong ability to lead, mentor, and communicate clearly with non-technical teams