Growth Data Scientist — Measurement Lead at NewsBreak
Mountain View, CA
$100,000–$250,000
Aug 3, 2026
Mountain View, CA
Sep 24, 2026
What this job asks for AI summary
This is a standalone growth analytics role focused on incrementality measurement and geo-based bidding strategy for a large-scale consumer app. The hire will design and run geo holdout and lift tests, build DMA-level LTV models, and define the objective function for an automated bidding system — work that directly influences eight-figure annual ad spend. It suits a hands-on analyst with real experience running geo experiments and building attribution-aware LTV models, not just familiarity with the concepts.
Senior level · 4+ years · Full-time
Pay in the description: $100,000–$250,000
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
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). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 4, 2026. It is a model, not a headcount.
Why we read it this way (7)
The job title is not stated in the posting; the role is inferred from the described responsibilities (incrementality testing, LTV modeling, geo-tiered bidding, experiment design). It is classified as Operations Research Analyst (15-2031) given the primary focus on causal measurement, experiment design, and optimization decision rules, though Data Scientist (15-2051) is a plausible alternative given the modeling and Python/SQL depth.
Work location is not specified beyond a US salary range and a California CPRA notice; remote status cannot be confirmed, so remote is set to false. Candidates should verify location/remote policy with the recruiter.
The experience range given is 4–8 years in marketing or growth analytics; the overall years minimum is set to 4 (the stated minimum).
Analytics support for $20M+ in annual spend is listed under Preferred, so it is marked as preferred rather than required.
MMP (Mobile Measurement Partner) experience — e.g., Adjust, AppsFlyer, Kochava — is stated as a hard requirement ('Fluent with MMPs'); specific platform names are not called out.
The compensation range ($100K–$250K) is unusually wide, which the posting itself acknowledges may vary by skills, level, experience, and geography.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): geo holdout / incrementality testing, LTV modeling.
Read the full posting
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