Marketing Data Scientist, Measurement & Experimentation at LinkedIn
New York, NY
$117,000–$193,000from the description
Jul 19, 2026
New York, NY
Jul 21, 2026
What this job asks for AI summary
This role sits within a marketing measurement team focused on incrementality testing — designing and running experiments (A/B tests, geo experiments, matched-market studies, synthetic controls, and difference-in-differences) to assess the true impact of marketing spend. The position involves owning studies end to end, advising cross-functional partners on test design and KPI selection, and building scalable measurement tooling. It suits an analytically rigorous candidate with a background in causal inference, experimentation, or econometrics.
Senior level · 5+ years · New York-Newark-Jersey City, NY-NJ-PA · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
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 1,300 people in the New York-Newark-Jersey City, NY-NJ-PA area plausibly meet what this posting asks for (data scientists). range 470–1,650
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $103,548–$176,968). 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 Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
The role is posted for four possible locations — New York, San Francisco, Mountain View, and Chicago — with a hybrid work arrangement. The CBSA is reported as New York-Newark-Jersey City since it is listed first; the role could equally be based in the San Francisco-Oakland-Berkeley (41860) or Chicago-Naperville-Elgin (16980) metros.
The title 'Marketing Data Scientist' carries no seniority level word, so advertised seniority is Unspecified. However, the 5+ years requirement, end-to-end ownership of complex measurement programs, and senior stakeholder engagement support a Senior classification.
The degree requirement is a hard-gated Bachelor's in a quantitative field. An MS or PhD is listed under Preferred Qualifications and is not a gate.
Python, R, and Scala appear together under Basic Qualifications as 'at least one programming language (e.g., R, Python, Scala).' Python is named as the primary skill with R and Scala as alternatives.
Causal inference methods (geo-experimentation, observational approaches), A/B tests, geo experiments, and matched-market studies are all explicitly required under Basic Qualifications. Synthetic controls, Difference-in-differences, Bayesian structural time-series models, Marketing Mix Modeling, and Bayesian modeling appear only under Preferred Qualifications.
AI-assisted coding tools appear under Preferred Qualifications framed as 'familiarity with' — listed as preferred accordingly.
The compensation range of $117,000–$193,000/year is stated as a pay range; actual packages may include bonus and equity.
Ignored 3 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): Bayesian structural time-series models, Marketing Mix Modeling, Bayesian modeling.
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.