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Capgemini

Marketing Decision Scientist

Capgemini

. Drive marketing measurement and media effectiveness through incrementality testing, causal inference, and advanced analytics .

Posted 10/16/2026full-timeRemote • Mexico, BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in marketing measurement and media effectiveness through advanced analytics, incrementality testing, and causal inference. Proficient in communicating actionable insights to diverse stakeholders, enhancing marketing efficiency and optimizing media investments.

Highest-signal resume keywords
Causal Inference ToolsIncrementality TestingAnalytics ExperienceR or Python ProficiencySQL and Power BI Knowledge

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Causal InferenceIncrementality TestingExperimental DesignData AnalysisLarge Dataset Management
Soft Skills
Communication SkillsStakeholder Engagement
Tools & Technologies
RPythonSQLPower BI
Industry Keywords
Marketing MeasurementMedia EffectivenessActionable InsightsBusiness Outcomes

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Drive marketing measurement and media effectiveness through incrementality testing, causal inference, and advanced analytics
  • Partner with cross-functional stakeholders to deliver actionable insights that optimize media investments and improve business outcomes
  • Plan and implement incrementality tests
  • Develop marketing measurement approaches to provide a full picture of marketing effectiveness
  • Communicate analysis results to leadership and stakeholders across a wide range of seniority, from entry-level to C-suite
  • Interpret analyses and communicate actionable insights to improve marketing efficiency

Requirements

What you’ll need
  • Experience applying causal inference tools (Difference-in-Differences, synthetic controls, propensity score matching) to real-life problems
  • Experience with experimental design and incrementality testing
  • At least 3 years of experience in Analytics and/or Data Science
  • Experience working with large and complex datasets
  • Working knowledge of R or Python, SQL, and Power BI
  • Bachelor’s degree in a technical field
  • Fluency in English
  • Valid, local legal authorization to work in the country where the role is based at the time of hire
  • No parallel employment, professional activities, or paid work for other entities during employment
  • Disclosure and formal review of ownership, partnership, directorship, or participation in other businesses or companies

Benefits

Comp & perks
  • Competitive salary and performance-based bonuses
  • Comprehensive benefits package
  • Career development and training opportunities
  • Flexible work arrangements (remote)
  • Dynamic and inclusive work culture within a globally renowned group
  • Private Health and Dental Insurance
  • Pension Plan
  • Meals tickets
  • Life Insurance