Data Science Manager – Marketing

Empower

. Advance Empower’s marketing effectiveness and marketing measurement capabilities, with Marketing Mix Modeling as the primary focus .

Posted 9/18/2026full-timeRemote • IndiaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Marketing Mix Modeling (MMM) and advanced analytics, with a strong ability to translate model outputs into actionable marketing insights. Proficient in managing complex marketing measurement initiatives and collaborating with cross-functional teams to enhance marketing effectiveness.

Highest-signal resume keywords

Marketing Mix Modeling (MMM)SQLPythonMarketing AnalyticsStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Marketing Mix ModelingModel DevelopmentModel ValidationData InterpretationStatistical AnalysisAdstock/CarryoverROI AnalysisIncrementality TestingBudget AllocationBrand Communication Measurement

Soft Skills

Analytical JudgmentCommunication SkillsVendor ManagementPrioritizationExecution Skills

Industry Keywords

Marketing ScienceEconometricsDigital MarketingTraditional MarketingFinancial Services

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Advance Empower’s marketing effectiveness and marketing measurement capabilities, with Marketing Mix Modeling as the primary focus
Own the end-to-end Marketing Mix Modeling measurement process from business-question definition and data readiness through model review, validation, refreshes, interpretation, and stakeholder adoption
Partner with Marketing, Media, Finance, Data, Technology, Analytics, and other cross-functional teams to define model inputs, outcomes, time periods, geographies, and granularity
Partner with external MMM vendors and technical modeling teams to review and challenge model specifications, assumptions, diagnostics, calibration, sensitivity analyses, and results
Translate MMM outputs into marketing investment insights, including channel contribution, incremental impact, ROI, ROAS, marginal ROI, response curves, diminishing returns, and budget-allocation scenarios
Communicate model uncertainty, limitations, assumptions, and decision guardrails to business and executive stakeholders
Improve the quality, consistency, and repeatability of data used for marketing measurement
Establish repeatable processes for MMM refreshes, data and model quality checks, documentation, validation, and version history
Manage external MMM and marketing measurement partners, evaluate deliverable quality, resolve issues, and facilitate knowledge transfer
Develop reusable data definitions, model-review standards, documentation, and marketing measurement playbooks
Assess which MMM activities should remain vendor-supported and which capabilities can transition in-house
Integrate MMM insights with experimentation, incrementality testing, campaign measurement, attribution, and brand measurement
Support brand communication measurement by interpreting brand-health, brand-lift, and advertising-effectiveness studies
Build internal MMM standards, knowledge, and processes and contribute to the long-term marketing measurement roadmap

Requirements

What you’ll need

8–12 years of relevant experience in marketing analytics, marketing science, econometrics, advanced analytics, or a related field
5+ years of hands-on experience with Marketing Mix Modeling (MMM), including model development, validation, model refreshes, interpretation, or operationalization
Bachelor’s or Master’s degree in Statistics, Data Science, or a related quantitative field
Extensive knowledge of Marketing Mix Modeling concepts and methodologies, including adstock/carryover, lagged effects, saturation, diminishing returns, seasonality, trends, control variables, multicollinearity, model calibration, and uncertainty
Experience interpreting MMM outputs, including channel contribution, incremental impact, response curves, ROI, ROAS, marginal ROI, and marketing budget-allocation scenarios
Ability to evaluate model specifications, assumptions, transformations, diagnostics, sensitivity analyses, calibration approaches, and business reasonableness
Experience working with marketing and media data across digital and traditional channels
Working proficiency in SQL and Python
Experience independently managing complex marketing measurement initiatives involving external vendors and cross-functional stakeholders
Strong knowledge of marketing and media concepts across digital and traditional channels
Strong analytical judgment and ability to translate statistical and model results into commercially relevant decisions
Strong stakeholder management, vendor management, prioritization, and execution skills
Strong written and verbal communication skills, including executive-ready storytelling
Experience building a Marketing Mix Modeling, marketing science, or marketing measurement capability from the ground up
Experience with experimentation and incrementality methodologies, including geo experiments, geo tests, matched-market studies, and lift studies
Experience with brand communication measurement, brand-health tracking, brand-lift studies, or advertising-effectiveness research
Experience in financial services, retirement, or wealth management

Benefits

Comp & perks

Flexible work environment
Fluid career paths
Internal mobility opportunities
Purpose, well-being, and work-life balance support
Welcoming and inclusive environment
Volunteering opportunities for causes that matter to associates
Equal opportunity employment