Senior Pricing Data Scientist at SV Pricing Recruiting
—
Jul 27, 2026
—
Jul 29, 2026
What this job asks for AI summary
A pricing strategy and monetization role at a high-growth SaaS company, sitting at the intersection of economics, data science, and product strategy. The hire will build econometric and value-based pricing models, design pricing experiments, and lead end-to-end pricing initiatives for new and existing products in close partnership with executive leadership and cross-functional teams. Strong quantitative skills combined with commercial judgment are central to the work.
Senior level · 5+ years · Remote · Master's required · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 830 people nationally plausibly meet what this posting asks for (operations research analysts). range 310–1,100
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $90,896 (middle half $69,863–$128,761).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 29, 2026. It is a model, not a headcount.
Why we read it this way (7)
The role blends operations research (econometric modeling, price elasticity, causal inference, experimentation) with data science (Python, large-scale data analysis, ML-adjacent modeling). 15-2031 Operations Research Analysts is the primary classification given the emphasis on optimization, pricing models, and quantitative decision-support; 15-2051 Data Scientists is a close runner-up.
The posting states an advanced degree (PhD or Master's) is 'strongly preferred,' not strictly required. However, the language is strong enough — and the quantitative depth demanded is high enough — that it functions as a practical gate; the degree requirement is set to Masters accordingly.
The experience range is 5–8 years; the overall years minimum is set to 5 (the lower bound).
Location is listed as 'Bay Area or remote with Frequent Travel' — the role is remote-eligible but travel is expected; the Bay Area CBSA is used as the primary metro anchor.
Pricing research methodologies (Conjoint Analysis, MaxDiff, Gabor-Granger, Van Westendorp) are listed as a single interchangeable requirement; they are captured as one skill with alternatives rather than separate entries.
No compensation figures are provided in the posting.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): Conjoint Analysis.
Read the full posting
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.