Data Scientist - MMM

6 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

This role is for one of the Weekday's clients

Min Experience: 6 yearsLocation: BengaluruJobType: full-timeWe are looking for a data-driven professional with expertise in Marketing Mix Modeling (MMM) to generate actionable insights that support marketing strategy and media optimization. The ideal candidate will have hands-on experience in developing both short-term and long-term MMM models, and a deep understanding of statistical modeling techniques relevant to the retail domain.

Requirements

Core Responsibilities:

  • Build, maintain, and optimize short-term and long-term MMM models to assess the impact of marketing activities on business performance
  • Conduct end-to-end data processing, model development, diagnostics, and interpretation of results
  • Translate model findings into actionable recommendations for media mix and budget allocation
  • Work closely with stakeholders to understand business goals and align MMM insights accordingly
  • Create clear visualizations and reports to communicate findings and influence strategic decisions
  • Support campaign planning by analyzing performance across various media channels and business KPIs

Core Competencies:

  • 5-8 years of experience in MMM with a demonstrated ability to deliver data-backed insights
  • Strong proficiency in Python for data processing, statistical modeling, and visualization
  • Deep understanding of statistical techniques, model diagnostics, and performance evaluation
  • Experience in applying optimization methods for marketing budget and media mix decisions
  • Working knowledge of SQL for data extraction and manipulation
  • Familiarity with media planning, retail business dynamics, and stakeholder collaboration
  • Strong analytical mindset with excellent communication and presentation skills

Key Skills:

  • Marketing Mix Modeling (MMM)
  • Python
  • Data Processing & Visualization
  • Model Diagnostics
  • Media & Budget Optimization
  • SQL
  • Client & Stakeholder Management
  • Retail Industry Familiarity

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