Data Science Manager – Marketing

Job not on LinkedIn

🔥 16 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Empower

WebsiteLinkedInAll Job Openings

10,000+ employees

💸 Finance

💳 Fintech

👥 B2C

Finance • Fintech • B2C

Empower is a leading provider of financial services focused on helping individuals and organizations achieve financial freedom through retirement planning and investment management. Serving over 19 million Americans, Empower offers a comprehensive suite of finance-related services, including smart planning and investment advice, and tools like the Empower Personal Dashboard™ for a complete financial view. The company is renowned as a top retirement plan provider and works closely with personal investors, workplace plan savers, plan sponsors, and financial professionals. Empower is also recognized for initiatives in Diversity, Equity, Inclusion, and has a social commitment that bolsters community impact.

📋 Description

• 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

• 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

• 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