Resume and JobRESUME AND JOB
Activision logo

Senior Manager, Data Science and Economics

Activision

Senior Manager, Data Science and Economics

Activision logo

Activision

full-time

Posted: October 28, 2025

Number of Vacancies: 1

Job Description

Job Title: Sr. Manager, Data Science and EconomicsReporting To: Director, Mobile AnalyticsDepartment: Global AnalyticsLocation: Santa Monica, CA (Hybrid, in office- 3 days/ week)Your Mission is:We are looking for a talented Data Science Manager to join our Mobile Analytics team. The team’s goal is to put science into product and marketing decisions and help to make a better game for both players and the company. Your product of focus is Call of Duty Mobile, one of the top mobile shooters on the market with over 10M global daily active users. You will be the technical leader for the data science and economics discipline, with a strong supporting team. First year responsibilities include: Partner with various product stakeholders to develop novel data science insights and solutions that directly impact feature roadmap, player retention and acquisition strategy, and economyAct as the thought leader for data scientists on the team, holding the team to a high technical standardHelp the team to expand technical depth on areas including, but not limited to, experimentation, causal inference, and econometrics Identify new opportunities in applying data science into product decisions and in-game economy policies, with an eye on evolving the team’s long-term competenceHelp define the group’s data science and economics roadmap and resource plans Player ProfileThe ability to communicate complex results to a wide variety of stakeholdersTeam and impact oriented, ability to build collaborative relationships effectively that leads to actionable solutions for the businessEager to lend your expertise in every data and analytic conversation and be an advocate for data science in gamingExpertise in econometrics, statistical inference, experimentation design and analysisExperience in developing Machine Learning models and/or optimization models a plus Proficient at performing analyses using R, Python, or similar toolsWorking knowledge of SQL, bonus for experience with big data tools and stacksAdvanced degree with a technical focus; PhD a plus10+ years of combined industry and research experience, with a minimum of 3 years in industry preferred.Our WorldAt Activision, we strive to create the most iconic brands in gaming and entertainment. We’re driven by our mission to deliver unrivaled gaming experiences for the world to enjoy, together. We are home to some of the most beloved entertainment franchises including Call of Duty®, Crash Bandicoot™, Tony Hawk’s™ Pro Skater™, and Guitar Hero®. As a leading worldwide developer, publisher and distributor of interactive entertainment and products, our “press start” is simple: delight hundreds of millions of players around the world with innovative, fun, thrilling, and engaging entertainment experiences.

Locations

  • Santa Monica, California, United States of America

Salary

Salary not disclosed

Estimated Salary Rangehigh confidence

180,000 - 250,000 USD / yearly

Source: grok estimate

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Expertise in econometricsintermediate
  • Statistical inferenceintermediate
  • Experimentation design and analysisintermediate
  • Proficient at performing analyses using R, Python, or similar toolsintermediate
  • Working knowledge of SQLintermediate
  • Experience with big data tools and stacksintermediate
  • Experience in developing Machine Learning models and/or optimization modelsintermediate
  • Ability to communicate complex results to a wide variety of stakeholdersintermediate
  • Ability to build collaborative relationships effectivelyintermediate
  • data scienceintermediate
  • econometricsintermediate
  • big dataintermediate
  • sqlintermediate
  • statistical inferenceintermediate
  • machine learningintermediate
  • pythonintermediate
  • causal inferenceintermediate
  • machine learning modelsintermediate

Required Qualifications

  • The ability to communicate complex results to a wide variety of stakeholders (experience)
  • Team and impact oriented, ability to build collaborative relationships effectively that leads to actionable solutions for the business (experience)
  • Eager to lend your expertise in every data and analytic conversation and be an advocate for data science in gaming (experience)
  • Expertise in econometrics, statistical inference, experimentation design and analysis (experience)
  • Proficient at performing analyses using R, Python, or similar tools (experience)
  • Working knowledge of SQL, bonus for experience with big data tools and stacks (experience)
  • Advanced degree with a technical focus; PhD a plus (degree)
  • 10+ years of combined industry and research experience, with a minimum of 3 years in industry preferred (experience, 10 years)

Preferred Qualifications

  • Experience in developing Machine Learning models and/or optimization models a plus (experience)
  • PhD a plus (degree)

Responsibilities

  • Partner with various product stakeholders to develop novel data science insights and solutions that directly impact feature roadmap, player retention and acquisition strategy, and economy
  • Act as the thought leader for data scientists on the team, holding the team to a high technical standard
  • Help the team to expand technical depth on areas including, but not limited to, experimentation, causal inference, and econometrics
  • Identify new opportunities in applying data science into product decisions and in-game economy policies, with an eye on evolving the team’s long-term competence
  • Help define the group’s data science and economics roadmap and resource plans

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Activision logo

Senior Manager, Data Science and Economics

Activision

Senior Manager, Data Science and Economics

Activision logo

Activision

full-time

Posted: October 28, 2025

Number of Vacancies: 1

Job Description

Job Title: Sr. Manager, Data Science and EconomicsReporting To: Director, Mobile AnalyticsDepartment: Global AnalyticsLocation: Santa Monica, CA (Hybrid, in office- 3 days/ week)Your Mission is:We are looking for a talented Data Science Manager to join our Mobile Analytics team. The team’s goal is to put science into product and marketing decisions and help to make a better game for both players and the company. Your product of focus is Call of Duty Mobile, one of the top mobile shooters on the market with over 10M global daily active users. You will be the technical leader for the data science and economics discipline, with a strong supporting team. First year responsibilities include: Partner with various product stakeholders to develop novel data science insights and solutions that directly impact feature roadmap, player retention and acquisition strategy, and economyAct as the thought leader for data scientists on the team, holding the team to a high technical standardHelp the team to expand technical depth on areas including, but not limited to, experimentation, causal inference, and econometrics Identify new opportunities in applying data science into product decisions and in-game economy policies, with an eye on evolving the team’s long-term competenceHelp define the group’s data science and economics roadmap and resource plans Player ProfileThe ability to communicate complex results to a wide variety of stakeholdersTeam and impact oriented, ability to build collaborative relationships effectively that leads to actionable solutions for the businessEager to lend your expertise in every data and analytic conversation and be an advocate for data science in gamingExpertise in econometrics, statistical inference, experimentation design and analysisExperience in developing Machine Learning models and/or optimization models a plus Proficient at performing analyses using R, Python, or similar toolsWorking knowledge of SQL, bonus for experience with big data tools and stacksAdvanced degree with a technical focus; PhD a plus10+ years of combined industry and research experience, with a minimum of 3 years in industry preferred.Our WorldAt Activision, we strive to create the most iconic brands in gaming and entertainment. We’re driven by our mission to deliver unrivaled gaming experiences for the world to enjoy, together. We are home to some of the most beloved entertainment franchises including Call of Duty®, Crash Bandicoot™, Tony Hawk’s™ Pro Skater™, and Guitar Hero®. As a leading worldwide developer, publisher and distributor of interactive entertainment and products, our “press start” is simple: delight hundreds of millions of players around the world with innovative, fun, thrilling, and engaging entertainment experiences.

Locations

  • Santa Monica, California, United States of America

Salary

Salary not disclosed

Estimated Salary Rangehigh confidence

180,000 - 250,000 USD / yearly

Source: grok estimate

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Expertise in econometricsintermediate
  • Statistical inferenceintermediate
  • Experimentation design and analysisintermediate
  • Proficient at performing analyses using R, Python, or similar toolsintermediate
  • Working knowledge of SQLintermediate
  • Experience with big data tools and stacksintermediate
  • Experience in developing Machine Learning models and/or optimization modelsintermediate
  • Ability to communicate complex results to a wide variety of stakeholdersintermediate
  • Ability to build collaborative relationships effectivelyintermediate
  • data scienceintermediate
  • econometricsintermediate
  • big dataintermediate
  • sqlintermediate
  • statistical inferenceintermediate
  • machine learningintermediate
  • pythonintermediate
  • causal inferenceintermediate
  • machine learning modelsintermediate

Required Qualifications

  • The ability to communicate complex results to a wide variety of stakeholders (experience)
  • Team and impact oriented, ability to build collaborative relationships effectively that leads to actionable solutions for the business (experience)
  • Eager to lend your expertise in every data and analytic conversation and be an advocate for data science in gaming (experience)
  • Expertise in econometrics, statistical inference, experimentation design and analysis (experience)
  • Proficient at performing analyses using R, Python, or similar tools (experience)
  • Working knowledge of SQL, bonus for experience with big data tools and stacks (experience)
  • Advanced degree with a technical focus; PhD a plus (degree)
  • 10+ years of combined industry and research experience, with a minimum of 3 years in industry preferred (experience, 10 years)

Preferred Qualifications

  • Experience in developing Machine Learning models and/or optimization models a plus (experience)
  • PhD a plus (degree)

Responsibilities

  • Partner with various product stakeholders to develop novel data science insights and solutions that directly impact feature roadmap, player retention and acquisition strategy, and economy
  • Act as the thought leader for data scientists on the team, holding the team to a high technical standard
  • Help the team to expand technical depth on areas including, but not limited to, experimentation, causal inference, and econometrics
  • Identify new opportunities in applying data science into product decisions and in-game economy policies, with an eye on evolving the team’s long-term competence
  • Help define the group’s data science and economics roadmap and resource plans

Target Your Resume for "Senior Manager, Data Science and Economics" , Activision

Get personalized recommendations to optimize your resume specifically for Senior Manager, Data Science and Economics. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Manager, Data Science and Economics" , Activision

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Data AnalyticsData Analytics

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