Senior Data Scientist – Media Decision Science at Domino's
Ann Arbor, MI
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Aug 10, 2026
Ann Arbor, MI
Sep 24, 2026
What this job asks for AI summary
A senior individual-contributor data science role at Domino's corporate headquarters, focused on paid search, local media, and emerging media channels. The position owns analytical leadership for media investment decisions — designing and evaluating incrementality experiments (geo tests, holdouts, matched markets), monitoring competitive intelligence, and translating findings into strategic recommendations for internal marketing teams, agencies, and platform partners like Google. Suits a quantitatively trained analyst with a media measurement background.
Senior level · 5+ years · Ann Arbor, MI · Bachelor'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 15 people in the Ann Arbor, MI area plausibly meet what this posting asks for (data scientists). range 8–20
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 $115,158 (middle half $79,848–$132,767).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 12, 2026. It is a model, not a headcount.
Why we read it this way (9)
The role blends data science (ML, predictive modeling, experiment design) with marketing analytics and BI reporting, making it a genuine hybrid between 15-2051 Data Scientists and 15-2031 Operations Research Analysts. The ML/modeling and experiment-design emphasis tips it toward 15-2051.
Databricks is listed as an example platform ('Databricks or similar'); it is captured as a required capability because it appears under the Technical Competencies (requirements) section, with 'or similar' indicating the tool is interchangeable rather than optional.
Power BI is similarly listed as an example ('Power BI or similar') under Technical Competencies and is treated as a hard gate on BI/visualization capability.
iSpot and Pathmatics appear only in the responsibilities narrative as example tools, not in the qualifications or technical competencies section, so they are marked preferred.
Machine learning is listed under Technical Competencies with the qualifier 'applied … experience,' making it a required capability even though no specific ML framework is named.
GenAI/AI tools appear under Technical Competencies but are framed as 'familiarity' — a softer gate — so they are marked preferred.
Background in media analytics and measurement is explicitly called 'preferred' in the posting.
No compensation figures are provided in the posting.
The role requires on-site presence in Ann Arbor, MI; relocation is expected for candidates not already local.
Read the full posting
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