Description

Marketing Science at Meta is seeking an experienced, full-time Marketing Science Partner based in India. In this client-facing role, you will partner with internal teams and advertisers across verticals (e.g., ecommerce, entertainment, fintech, health-tech, tech, automotive, CPG) to improve business outcomes through rigorous measurement and analysis.You will work both proactively and in response to client needs, leveraging Meta's data science, measurement tools, and datasets to design and run studies (e.g., conversion lift, brand lift, attribution), deliver actionable cross-channel performance insights, and translate findings into clear, actionable recommendations. This includes hands-on collaboration with clients-and, when needed, third-party measurement and data partners-to set up and execute studies that demonstrate rigorous measurement and drive tangible impact.You will also help scale and evolve measurement methods, customizing existing solutions and occasionally piloting new approaches in partnership with Product, R&D, and Partnerships. Success in this role requires analytical and critical thinking skills, working with large datasets and research methods, and influence measurement practices cross-functionally-working closely with Sales and partnering with teams such as Creative Shop, Ads Research, and Product Marketing.

Marketing Science Partner, India Responsibilities:

• 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

Minimum Qualifications:

• 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

Preferred Qualifications:

• 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

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.