EvolutionIQ

Leading the artificial intelligence transformation for insurance carriers.

Senior Data Scientist

Data ScientistData ScientistFull TimeRemoteTeam 51-200H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

67 days ago

Salary

Not specified

No structured requirement data.

Job Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

As a Senior Data Scientist on the Medhub team, you will be the primary architect of our LLM evaluation framework. Think of this role as the "Evaluation Expert" and will define the rigorous statistical standards they must meet before they ever touch production.

  • Establish the Gold Standard: Design and implement comprehensive scorecards and benchmarking suites for LLM-based extraction, summarization, and chat interfaces.
  • Bridge the Gap with SMEs: Act as the technical lead in working with Subject Matter Experts (SMEs) to codify their expertise into evaluation datasets and "ground truth" labels.
  • Scale Labeling: Design the statistical guardrails to scale both our human and automated labeling efforts; optimize the human labeling process for efficiency and agreement while ensuring LLM-generated labels maintain the highest integrity for our training data.
  • Quantify Risk: Provide clear, data-driven "Go/No-Go" recommendations for model deployment based on rigorous error analysis and statistical confidence intervals.

Qualifications

  • 5+ years of experience in Data Science with a strong background in traditional statistics (hypothesis testing, experimental design, regression analysis).
  • 2+ years of focused experience working with LLMs, specifically in evaluation, benchmarking, and prompt auditing.
  • Master’s or PhD in Statistics, Mathematics, or a related quantitative field.
  • Proficient in Python (Pandas, Scikit-learn, Statsmodels) and SQL.
  • Familiarity with LLM evaluation frameworks (e.g., RAGAS, LangSmith, or proprietary scorecard systems) is a major plus.

Requirements

  • A Quality Mindset: Naturally skeptical of anecdotal evidence and insist on statistical proof.
  • Proven ability to work with non-technical SMEs to translate their qualitative feedback into quantitative metrics.

Benefits

  • Compensation: Base salary range is $200-240K, with flexibility depending on a candidate’s background and experience. Includes an annual bonus plan and company equity plan (RSUs).
  • Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits.
  • Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). Flexible schedule for new parents returning to work.
  • Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.
  • Growth & Training: $1,000/year for each employee for professional development, as well as opportunities for tuition reimbursement.
  • Sponsorship: Open to sponsoring candidates currently in the U.S. who need to transfer their active visa.

Job Requirements

  • 5+ years of experience in Data Science with a strong background in traditional statistics (hypothesis testing, experimental design, regression analysis).
  • 2+ years of focused experience working with LLMs, specifically in evaluation, benchmarking, and prompt auditing.
  • Master’s or PhD in Statistics, Mathematics, or a related quantitative field.
  • Proficient in Python (Pandas, Scikit-learn, Statsmodels) and SQL.
  • Familiarity with LLM evaluation frameworks (e.g., RAGAS, LangSmith, or proprietary scorecard systems) is a major plus.
  • A Quality Mindset: Naturally skeptical of anecdotal evidence and insist on statistical proof.
  • Proven ability to work with non-technical SMEs to translate their qualitative feedback into quantitative metrics.

Benefits

  • Compensation: Base salary range is $200-240K, with flexibility depending on a candidate’s background and experience. Includes an annual bonus plan and company equity plan (RSUs).
  • Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits.
  • Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). Flexible schedule for new parents returning to work.
  • Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.
  • Growth & Training: $1,000/year for each employee for professional development, as well as opportunities for tuition reimbursement.
  • Sponsorship: Open to sponsoring candidates currently in the U.S. who need to transfer their active visa.

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