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Data Science & Analytic Methodology SME
micro1
Contract type
Freelance
Work mode
Remote
Experience
3 years
Job description
Contractor role for Data Science & Analytic Methodology SMEs to contribute domain expertise to a customer project focused on advanced analytic pipelines and large language models (LLMs), helping train next-generation AI systems.
At a glance
- Employment
- Contract · Independent contractor
- Work mode
- Remote
- Languages
- English
What you'll do
- Map scaled-analysis and pipeline-integration scenarios to an established taxonomy across key evaluation areas.
- Author detailed analytic cases that reflect authentic deployment patterns, including automated triage, enrichment, and analysis-at-scale, as well as representative failure modes in real-world settings.
- Evaluate and grade responses based on criteria such as source handling, reasoning, understanding of limitations, and practical utility.
- Identify and flag instances of model over-refusal that could hinder legitimate analytic workflows or disrupt pipeline continuity.
- Document challenging edge cases, emerging methodology concerns, and provide actionable recommendations for continuous improvement.
- Contribute clear, insightful written and verbal feedback that supports iterative, high-quality project outcomes.
What we're looking for
Nice to have
- Demonstrated experience integrating LLMs—such as government GPT variants—into complex data or analytic pipelines.
- Proven capability in conducting analysis at scale, with an understanding of automation failure modes and relevant evaluation metrics.
- Track record of teaching, mentoring, or technical leadership in data science or related analytic disciplines.
- Expertise in authoring clear, concise technical documentation and conveying complex concepts through strong written English.
- Exposure to the design of evaluation frameworks or benchmark systems.
- Familiarity with defense, intelligence, or government analytic domains is highly valued.
- Ability to operate effectively in distributed, international project environments with minimal clearance constraints.