Senior Data Scientist :: Need VA Locals :: W2 Position

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Trebecon LLC, is seeking the following. Apply via Dice today!Key ResponsibilitiesPartner with cross-functional business teams to understand complex problem statements and translate them into AI-enabled solutionsExtract, clean, and structure data from diverse and unstructured sources to support analytics and generative AI use casesBuild Python-based prototypes and tools leveraging advanced analytics and generative AI techniquesDesign, test, and refine prompts to produce reliable, explainable, and actionable AI outputsCollaborate with data, engineering, and technology teams to align prototypes with production standardsDevelop reusable code, frameworks, documentation, and demos to support scalability and knowledge sharingSupport testing, validation, and iterative improvement of AI solutions prior to deploymentWhat Success Looks LikeRapidly understands new problem domains and identifies practical solution pathwaysDelivers high-quality prototypes that address real business challengesImproves the quality, usability, and accessibility of data for downstream applicationsActs as a force multiplier by enabling reuse and scalability of solutions across teamsRequired Qualifications2–7 years of relevant experience in data science, analytics, or applied AIStrong Python programming skills with the ability to write clean, modular, and production-oriented codeSolid analytical mindset with a strong technical foundationHands-on experience with prompt engineering for Large Language Models (LLMs), including designing, testing, and refining promptsUnderstanding of prompt structure, context handling, and output reliabilityExperience working with common data and AI libraries (e.g., pandas, NumPy, and LangChain-style frameworks)Nice to HaveExperience building end-to-end AI or analytics solutions, including data ingestion, transformation, modeling logic, and output presentationFamiliarity with deploying prototypes into production environmentsExposure to modern AI/ML tooling and frameworks