# Senior Data Scientist

**Company:** [Komodo Health](https://hotfix.jobs/companies/komodo-health)
**Location:** New York, NY, Chicago, IL
**Role:** Data Science
**Salary:** $162k – $219k/yr
**Experience:** 5+ years
**Skills:** SQL, Python, R, Statistical Modeling, healthcare claims data, icd, cpt, hcpcs, ndc, bayesian statistics
**Posted:** 2026-07-31

> Senior Data Scientist advancing Komodo Health's projection models that translate healthcare claims into national/subnational market estimates. Own model evaluation with limited ground truth, investigate customer issues, and partner with engineering on methodology improvements using SQL, Python/R, and deep US claims data expertise.

## Job Description

## Responsibilities
- Analyze large-scale Komodo healthcare data using SQL and Python or R to assess projection model inputs, outputs, and behavior across therapeutic areas and geographies.
- Design and run evaluation studies — constructing benchmarks, consistency and uncertainty quantification — and build diagnostic tooling that makes model behavior fast to assess and debug.
- Triage and investigate questions from customers and customer-facing teams; reproduce reported issues, form hypotheses, and isolate root causes through systematic analysis.
- Prepare and deliver clear methodological explanations — briefs, walkthroughs, and direct customer discussions — that translate model mechanics into answers customers can act on.
- Review and contribute to model code, specifications, and design documents in partnership with product engineering; validate changes before and after release.
- Maintain methodology documentation and evaluation reports; track model behavior across data refreshes and releases, flagging emerging issues early.

## Requirements
- Graduate training (MS/PhD) in Statistics, Data Science, or a related quantitative field, or equivalent applied experience.
- 5+ years of industry experience applying statistical modeling and estimation to large-scale real-world healthcare data.
- Deep familiarity with US healthcare claims data — the coding ecosystem (ICD, CPT/HCPCS, NDC), how drugs are billed across medical and pharmacy benefits, the distinction between open and closed data sources and its analytical implications, and how common data-generation and processing issues manifest in downstream analytics.
- Experience evaluating model quality when ground truth is limited, with the creativity to design rigorous validation approaches under that constraint.
- Strong diagnostic and critical-thinking skills: able to take an ambiguous question ("this number looks wrong"), form hypotheses, and systematically isolate root cause with minimal oversight.
- Comfort engaging directly with customers on technical topics — listening well, explaining methodology accessibly, and maintaining credibility under scrutiny.
- Working proficiency in SQL and in Python or R for large-scale data analysis and statistical modeling.

## Nice-to-Haves
- Direct experience with projection or extrapolation methodology — estimating population-level volumes from partial samples (e.g., sample-to-national projection, market sizing, weighting and calibration) — is a strong plus.
- Experience with Bayesian statistics and its application to real-world estimation problems.
- Fluency with AI-assisted development tools (coding copilots, agentic workflows) to accelerate analysis, prototyping, and documentation.

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