Founding Data Scientist, Measurement & Benchmarks

The Denominator · Remote (Preferred: San Francisco, New York, Washington, DC, Boston or Chicago) · Full-time

We believe tomorrow will be better than today, and we build with that conviction. We have a small team and a large thesis, and we intend to define the category.

If you don’t think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box — we’re looking for candidates who are particularly strong in a few areas, and have genuine interest and capability in others.

About the Role

The Denominator is building from first principles at the intersection of enterprise AI economics and public data. We are looking for a founding data scientist to own measurement: the methods that turn public disclosures and market prices into numbers executives benchmark against and make decisions on. You will decide what gets measured, how it is weighted, and how it holds up when a CFO, an analyst or a competitor questions it. The methods you publish in your first year will be the reference others cite for years.

What You’ll Do

• Design, build and own a family of quantitative measures (price series, peer benchmarks, composite scores and rankings) from first principles: universe and eligibility rules, weighting, normalization, rebasing, and the documented methodology behind each one
• Build pipelines that extract structured economic facts from unstructured public evidence, such as regulatory filings, earnings materials and published pricing, using AI-assisted extraction with human review, full provenance and a dated source on every figure
• Model prices that change faster than the products they describe: quality and capability adjustment across offerings that are not like-for-like, and modeled estimates where observed data is thin, with uncertainty stated rather than hidden
• Design peer-group aggregation that is useful at small sample sizes and safe for the companies inside it: cohort construction, minimum-count suppression, and privacy-preserving methods for commercially sensitive data
• Own entity resolution and the company reference data under every measure: thousands of public and private companies, mapped consistently and kept current as the market moves
• Write the methodology documents, change logs and governance rules that a buyer’s data science team can evaluate and a non-technical executive can follow

What You’ll Bring

The Toolkit

• 5+ years in applied data science, econometrics or quantitative research, with measures or models you owned in production and that others relied on for decisions
• Deep Python and strong SQL, with the modern data science toolkit for dataframes, statistical modeling and machine learning; comfortable with reproducible, orchestrated pipelines and version-controlled methodology
• Rigorous grounding in statistics (sampling, weighting, regression, small-sample inference and uncertainty quantification) and the judgment to know which method a question deserves
• Production experience extracting structured data from unstructured documents such as regulatory filings, transcripts and contracts, including LLM-based extraction with evaluation sets and an accuracy you can state
• Experience building composite indicators, benchmarks, rankings or scoring systems whose methodology was published or scrutinized by outside parties
• Working knowledge of financial statements and public-company disclosure: you can find the number in a 10-K and you know when it is not the number it appears to be
• Judgment in data visualization: you can turn a methodology into one chart and one sentence an executive will remember

The Denominator DNA

• You write the methodology before you publish the number, and you stand behind both
• You learn the decisions executives face before you decide what to measure
• You use AI to extract and check at scale, and you know where judgment must stay human
• You would rather own a measure end to end than tune someone else’s
• You believe better measurement leads to better decisions, and you build for it

Preferred Qualifications

• Background in economic measurement (price indices, quality adjustment, panel or survey methods) at a statistical agency, ratings provider or research group
• Economic or management consulting experience, ideally at an economic consulting firm or a strategy firm’s analytics practice, where your work had to survive scrutiny from executives, regulators or opposing experts
• Knowledge of cloud and AI cost structures: token pricing, committed-use discounts, GPU capacity, FinOps
• Experience with privacy-preserving analytics (k-anonymity, differential privacy, clean rooms) on commercially sensitive data
• Prior experience at a company with fewer than 20 people, where you built the first version rather than inherited it

Working at The Denominator

• Board-level impact from day one: your work reaches the CIOs, CFOs and boards making AI decisions within months, not years
• Fully remote, with a preference for San Francisco, New York, Washington, DC, Boston or Chicago; the right candidate can be located anywhere
• A direct line to the decisions: no layers between your judgment and the product

Compensation

• $175,000 – $225,000 • Offers Equity • Offers Bonus

Compensation decisions are based on various factors, including, but not limited to, experience, skills, certifications, location and business needs. Employees may be eligible for additional benefits, including health, dental and vision insurance, a 401(k), paid holidays and paid time off, and professional development opportunities and tools.

About The Denominator

The Denominator is building the intelligence company for the AI economy. Enterprises are committing trillions to AI, and the executives accountable for that capital must move at pace, keep their options open and answer for the return. We build the empirical intelligence that lets them decide with conviction, preserve optionality in every technology choice and deploy capital with discipline. Learn more at thedenominator.ai.

To apply, write to careers@thedenominator.ai with the role in the subject line.

The Denominator is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status or any other characteristic protected by law.