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Senior Data Scientist, Mobile Marketing Analytics

Data Scientist Full-time Permanent United States

Job details

$1,200 Salary
United States Eligibility
Senior Experience
Full-time Employment

About this role

Role overview

Build the analytical frameworks that guide mobile marketing investment and growth. This role spans executive reporting and detailed campaign, creative, cohort, and audience analysis, connecting advertising-platform and attribution data with internal customer economics in a privacy-aware measurement environment.

Responsibilities - Develop and maintain measurement methods that reconcile platform reporting, mobile attribution, and internal data despite gaps or noise. - Own marketing performance dashboards and reporting on user quality, payback, and profitability. - Analyze campaign, ad set, ad, and creative results; recommend ways to improve efficiency and identify creative fatigue or strong performers. - Study acquisition cohorts to understand retention, monetization, lifetime value, and payback across user segments and acquisition sources. - Work with marketing and finance on channel incrementality, profitability, scenario modeling, and budget allocation. - Design and interpret lift tests, such as geographic experiments and audience holdouts, and translate findings into practical decisions.

Requirements - Experience in marketing analytics, growth data science, mobile analytics, or a related field; the source describes seven or more years as a qualification. - Hands-on knowledge of mobile marketing, paid social, mobile attribution, and measurement in a consumer or marketplace setting. - Strong statistical grounding in experimentation, incrementality, cohort analysis, and causal inference. - Experience with audience segmentation and activation, including suppression and saturation considerations. - Proficiency in Python or R and SQL, plus BI tools such as Tableau or Sigma and mobile measurement platforms. - Ability to explain analytical findings and attribution limitations clearly to marketing partners and senior decision-makers.

Nice to have

Experience with marketing mix modeling, incrementality testing, ticketing, live events, marketplaces, consumer mobile apps, or businesses with seasonal demand and changing supply or pricing.

Benefits and work setup

Listed benefits include flexible paid time off, equity, event credits, health, dental and vision coverage, life and disability insurance, family-forming support, retirement and pre-tax savings programs, wellness offerings, and team meetups. The stated U.S. salary range is $192,313–$226,250.

Skills detected in the listing

PythonSQLTableau
Detected Oct 9, 2026
Last verified Oct 9, 2026

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