I&P - GN - SONG - AI & Data - Marketing - MMM - Manager
Job Summary:
As a Marketing Mix Modeling (MMM) Manager, you will lead the design, development, and deployment of advanced media measurement and marketing effectiveness models to drive data-driven decision-making for clients. Your typical day will involve managing a team of analysts and consultants, collaborating with senior stakeholders, interpreting model outputs to generate actionable business insights, and guiding the adoption of open-source MMM frameworks such as PyMC, Meridian, and Robyn.
Roles & Responsibilities:
- Lead end-to-end development and delivery of Marketing Mix Models (MMM) using open-source frameworks including PyMC, Meridian, and Robyn.
- Manage, mentor, and guide a team of data scientists, setting clear objectives and ensuring high-quality model outputs.
- Collaborate with senior client stakeholders and cross-functional teams to translate business objectives into robust measurement strategies.
- Design Bayesian and frequentist MMM frameworks to evaluate media spend effectiveness, attribution, and budget optimization across channels.
- Oversee model validation, diagnostics, and testing to ensure reliability and business relevance of insights.
- Present findings and strategic recommendations to C-suite and senior business leaders in a clear, impactful manner.
- Drive innovation by staying current with advancements in MMM, media analytics, and open-source tooling, integrating best practices into team workflows.
Professional & Technical Skills:
- Must Have Skills: Hands-on proficiency in Marketing Mix Modeling (MMM) and media measurement techniques.
- Expertise in open-source MMM libraries: PyMC (Bayesian probabilistic modeling), Google Meridian, and Meta Robyn.
- Strong command of Python for statistical modeling, data wrangling, and visualization.
- Deep understanding of Bayesian inference, hierarchical models, and time-series analysis as applied to media and marketing data.
- Proven people management experience: leading, coaching, and developing data science or analytics teams.
- Strong stakeholder management and executive communication skills, with the ability to translate complex model outputs into business recommendations.
- Good to Have: Familiarity with cloud platforms (GCP, AWS, Azure), and media planning or attribution tools.
- Experience with experiment design (A/B testing, incrementality testing) and causal inference methods.
Additional Information:
- The ideal candidate will possess a strong background in quantitative disciplines (Statistics, Mathematics, Economics, or Computer Science) with a demonstrated track record of building and deploying MMM solutions for large-scale marketing measurement challenges.
- Prior experience managing teams of 3+ members in a consulting, agency, or analytics environment is strongly preferred.
- This position is based at PAN India offices.
Kolkata
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