Senior Marketing Data Scientist

The Senior Marketing Data Scientist role supports the Mojang Player Data and Insights team by driving attribution analytics for studio marketing initiatives. The position focuses on building analysis and production-ready pipelines that connect marketing activity to business outcomes across channels.

Role Overview

You will partner with marketing and engineering teams to create end-to-end pipelines that move from database inputs to reporting outputs. Your work will include developing analytical approaches to surface key drivers of monetization, engagement, and retention across marketing channels, and translating findings into decision-ready narratives for stakeholders.

Key Responsibilities

• Build and maintain causal inference frameworks for marketing effectiveness measurement, including Mix Media Modeling, multi-touch attribution, and regression analysis.
• Automate ROI calculations and identify optimization opportunities.
• Develop automated pipelines to productionize outputs from causal inference and ROI frameworks.
• Communicate clearly across disciplines by providing consistent, concise updates to varied stakeholders.
• Produce decision-ready narratives that connect marketing activity to Minecraft business outcomes.
• Automate uplift calculations from marketing A/B testing using treatment and control groups, and highlight opportunities for future experiments.
• Collaborate with stakeholders to determine how success should be measured.

Required Qualifications

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field, plus 1+ year(s) of data-science experience (for example: managing structured and unstructured data, applying statistical techniques, and reporting results).
• Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field, plus 3+ years of data-science experience (for example: managing structured and unstructured data, applying statistical techniques, and reporting results).
• Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field, plus 5+ years of data-science experience (for example: managing structured and unstructured data, applying statistical techniques, and reporting results).
• OR equivalent experience.
• 5 years of experience with causal inference frameworks for marketing attribution analysis, including MMM, multi-touch attribution, A/B tests, and regression analysis.

Preferred Qualifications

• 5 years of experience with causal inference frameworks for marketing attribution analysis such as MMM, multi-touch attribution, A/B tests, and regression analysis.

Location

Washington, DC (Onsite)

Compensation

USD 119,800 - 261,000 per year