Senior Data Scientist, Mobile Marketing Analytics

gametimeunited; Stati Uniti; Remoto; USD 192.000 - 226.000; Tempo pieno

Vantaggi offerti da questo lavoro

Flexible paid time off

Equity

Event credits

Health

Dental

Vision coverage

Life and disability insurance

Family‑forming support

Retirement and pre‑tax savings

Descrizione del lavoro

Gametime United is seeking a senior marketing analytics leader to build analytical frameworks guiding mobile marketing investment and growth. You will connect advertising-platform data with internal economics in a privacy-aware environment and deliver executive reports and detailed campaign analyses.

You will own measurement methods, dashboards, cohort analysis, and scenario modeling with marketing and finance to optimize payback and profitability across channels.

Competenze

• 7+ years of experience in marketing analytics or growth data science.
• Hands-on knowledge of mobile marketing, paid social, mobile attribution, and measurement.
• 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.

Mansioni

• 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 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 and translate findings into practical decisions.

Conoscenze

Marketing analytics

Growth data science

Mobile analytics

Experimentation

Cohort analysis

Strumenti

Python

R

SQL

Tableau

Sigma

Descrizione del lavoro

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.

• flexible paid time off
• equity
• event credits
• health
• dental
• vision coverage
• life and disability insurance
• family‑forming support
• retirement and pre‑tax savings programs
• wellness offerings
• team meetups

The stated U.S. salary range is $192,313–$226,250.