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Marketing Science Partner

India, Bangalore · Job Posted June 16, 2026
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Job Responsibility

  • Partner with clients and agencies to build and operationalize learning agendas, sharing measurement and analysis led best practices that drive demonstrable business impact
  • Collaborate closely with Sales to manage a prioritized book of business and align on which accounts receive Marketing Science servicing and the type of servicing
  • Shape and scale measurement adoption by driving client/vertical/industry uptake of preferred methodologies, products, and best practices aligned to the learning agenda
  • Lead internal and external enablement through trainings and workshops to build advocacy for measurement solutions and analytical best practices (including auction and lift tools)
  • Design and execute measurement tests (using client data and Meta and/or third-party tools) to quantify incremental impact and improve cross-channel decision-making
  • Coordinate execution with third-party measurement partners as needed, supporting study setup, governance, and delivery
  • Deliver clear, compelling storytelling—translating complex analyses into actionable recommendations for technical and non-technical stakeholders
  • Provide consultative expertise on hypotheses, feasibility, study design, and interpretation of results in selective client and agency engagements

Requirements

  • Bachelor's degree or higher in a quantitative or business discipline (e.g., statistics, economics, mathematics, computer science, engineering, data science, social sciences, or similar)
  • 5+ years of experience in scoping and executing end-to-end analytical and measurement projects, partnering with clients and/or cross-functional stakeholders, working under own initiative
  • 5+ years of experience working with large datasets—extracting, cleaning, manipulating, and synthesizing data to identify patterns and deliver actionable insights
  • Proficiency with analytical and data tools, including statistical software (e.g., R, SPSS, SAS) and data querying/extraction (e.g., SQL and/or Hive). Familiarity with Python
  • Experience working with digital advertising technologies, tracking and signal gathering techniques, and measurement approaches (e.g incrementality, attribution, etc.) applied to digital advertising
  • Demonstrated expertise in analytical methods and experimental design (e.g., randomized control experiments, regression modeling, decision-tree analysis, etc.)
  • Evidence of crafting and delivering clear and concise presentations, reports and documents - able to translate technical concepts and study results into clear, compelling guidance for non-technical audiences and stakeholders

Nice to have

  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experienced in executing and optimizing digital advertising for brand and direct response outcomes
  • Advanced degree in a quantitative field or a master's in business administration
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
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