Senior Data Scientist - LLM Evaluation (Medhub)

EvolutionIQ • New York, NY

8d • $200 - $240

About The Position

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. You believe that LLMs should be held to the same (or higher) scientific standards as traditional supervised models. You enjoy the challenge of turning subjective outputs (like chat and summarization) into objective, measurable data. You are a "Data Scientist’s Data Scientist"—someone who leans heavily into statistical significance, inter-rater reliability, and robust experimental design to ensure our AI products are safe, accurate, and reliable.

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. You should be comfortable explaining the nuances of different evaluation metrics (e.g., G-Eval, ROUGE, or custom-weighted scorecards).
• A Quality Mindset. You are naturally skeptical of anecdotal evidence ("it looks good") and insist on statistical proof.
• 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. Familiarity with LLM evaluation frameworks (e.g., RAGAS, LangSmith, or proprietary scorecard systems) is a major plus.

Nice To Haves

• 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.

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.

Benefits

• Compensation: The base salary range is $200-240K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package.
• 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). We offer a 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 opportunities for tuition reimbursement.
• Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level