Data Science Manager

Role: Data Science Manager Market Mix Modelling (MMM)

?Strictly no Healthcare/Pharma/pharmaceutical

About the Role

Data Science Manager MMM

end-to-end

What You'll 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 We're 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