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Data Science Manager

Recro

5 - 10 years

Bengaluru

Posted: 23/12/2025

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Job Description

Role: Data Science Manager Market Mix Modelling (MMM)

Strictly no Healthcare/Pharma/pharmaceutical


About the Role

Were hiring a Data Science Manager MMM to drive next-generation marketing effectiveness analytics for global CPG and consumer brands . This role is built for a hands-on data science leader who enjoys solving complex, real-world business problems using econometrics, causal modeling, and machine learning , while working closely with senior stakeholders.

Youll own MMM programs end-to-end from raw data to executive-ready insights and play a key role in shaping how marketing decisions are made at scale.


What Youll Do

  • Design, build, and deploy Marketing Mix Models from scratch for large-scale CPG clients
  • Apply regression, time-series, Bayesian, and causal inference techniques to measure true media impact
  • Lead MMM engagements end-to-end: data ingestion, modeling, validation, scenario simulation, and ROI optimization
  • Translate complex analytical outputs into clear, actionable recommendations for senior business stakeholders
  • Mentor and guide junior data scientists, ensuring high technical and delivery standards
  • Continuously improve modeling approaches using modern ML, experimentation, and advanced statistics


What Were Looking For

  • 812 years of experience in Data Science / Advanced Analytics
  • 3+ years of recent, hands-on Market Mix Modeling experience
  • Strong programming skills in Python and SQL
  • Deep understanding of econometrics, regression, time-series analysis, and Bayesian methods
  • Proven consulting or client-facing experience , with the ability to influence decisions
  • CPG / FMCG domain exposure (mandatory)


Nice to Have

  • Experience with Robyn, PyMC, Stan , or similar MMM frameworks
  • Exposure to global / multi-market MMM programs
  • Data visualization experience using Tableau, Power BI , or similar tools


Why This Role

  • Work on high-impact, decision-critical problems for global brands
  • Combine deep data science with real business influence
  • Lead, mentor, and shape MMM practices at scale
  • Competitive compensation aligned to impact and experience

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