🌎Data Science & Analytic Methodology SME, Remote- Contract

Posted 5 Hours Ago
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Hiring Remotely in United States
Remote
Entry level
HR Tech • Information Technology • Professional Services • Consulting
The Role
Develop and evaluate analytic cases for AI systems across scaled-analysis and pipeline-integration scenarios. Map use cases to taxonomies, assess model responses, identify over-refusal and failure modes, document edge cases, and provide actionable feedback. The role requires expertise in data science, analytics, LLM integration, technical documentation, and evaluation methodology, with government, defense, or intelligence experience valued.
Summary Generated by Built In

Role Title: Data Science & Analytic Methodology SME

Role Type: Contract

Location: Remote

Required Skills:

  • LLMs

  • Pipeline integration

  • Data analytics

  • Scaled-analysis judgment

  • Data science

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters.

Scope of Work:

  • 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.

Preferred Qualifications:

  • 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.

Skills Required

  • Experience with LLMs
  • Pipeline integration experience
  • Data analytics experience
  • Scaled-analysis judgment
  • Data science experience
  • Experience integrating LLMs or government GPT variants into complex data or analytic pipelines
  • Experience conducting analysis at scale and understanding automation failure modes and evaluation metrics
  • Teaching, mentoring, or technical leadership experience in data science or related analytic disciplines
  • Technical documentation and strong written English skills
  • Experience designing evaluation frameworks or benchmark systems
  • Familiarity with defense, intelligence, or government analytic domains
  • Ability to work effectively in distributed, international project environments
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The Company
Year Founded: 2012

What We Do

Xperteez Technology is a business consulting and recruitment firm that bridges the gap between business needs and talent. The company specializes in providing IT consulting, digital marketing, and comprehensive recruitment solutions across various sectors, including BFSI, manufacturing, and e-commerce. They focus on connecting qualified job seekers with direct payroll opportunities at leading companies across India, emphasizing growth and technological excellence.

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