EvolutionIQ · 4 days ago
Senior Data Scientist - LLM Evaluation (Medhub)
United States
Full-time
Remote
Senior Level
$200K/yr - $240K/yr
5+ years expEvolutionIQ’s mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient. As a Senior Data Scientist on the Medhub team, you will be the primary architect of our LLM evaluation framework, ensuring AI products are safe, accurate, and reliable.
Artificial Intelligence (AI)Commercial InsuranceFraud DetectionInsuranceInsurTechRisk Management
Responsibilities
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; you will 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
Qualification
Required
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
Comfortable explaining the nuances of different evaluation metrics (e.g., G-Eval, ROUGE, or custom-weighted scorecards)
Proven ability to work with non-technical SMEs to translate their qualitative feedback into quantitative metrics
Proficient in Python (Pandas, Scikit-learn, Statsmodels) and SQL
Preferred
Familiarity with LLM evaluation frameworks (e.g., RAGAS, LangSmith, or proprietary scorecard systems) is a major plus
Deep knowledge of metrics like Cohen's Kappa or Fleiss' Kappa to quantify agreement between SMEs and evaluate the clarity of labeling instructions
Experience in Active Learning
Experience with platforms like Labelbox, Snorkel, or Prodigy to manage the flow between human annotators and automated systems
Benefits
Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching.
Additional family, wellness, and pet benefits.
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.
Catered lunches.
Happy hours.
Pet-friendly spaces.
Monthly technology stipend.
$1,000/year for each employee for professional development.
Opportunities for tuition reimbursement.
Company
EvolutionIQ
EvolutionIQ is an AI company that offers claims guidance solutions for insurance companies.
51-200 employees
H1B Sponsorship
EvolutionIQ has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (16)
2024 (4)
Funding
Current Stage
Growth StageTotal Funding
$63.45MKey Investors
Brewer Lane VenturesFirst Round Capital
2024-12-20Acquired
2024-08-14Series C· $20.15M
2023-06-22Series Unknown· $10.31M
Leadership Team
Michael Saltzman
Co-Founder, Co-CEO
Recent News
MarketScreener
2025-10-31
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