Data Scientist

Job Title: Data Scientist – Marketing Mix Modeling (MMM)

Job Summary

We are looking for a Data Scientist with strong expertise in Marketing Mix Modeling (MMM) to develop and deliver end-to-end marketing analytics solutions. The ideal candidate should have hands-on experience in building MMM models, media optimization, and stakeholder engagement. Experience in Brand Equity Modeling will be an added advantage.

The candidate should be proficient in Python, possess a strong understanding of marketing analytics concepts, and be capable of independently driving client engagements while delivering actionable business insights.

Key Responsibilities

• Design, develop, and implement end-to-end Marketing Mix Modeling (MMM) solutions.

• Collaborate with business stakeholders to gather requirements and translate business objectives into analytical solutions.

• Perform data collection, cleansing, preprocessing, exploratory data analysis (EDA), feature engineering, and model validation.

• Develop both Short-Term and Long-Term Marketing Mix Models to measure marketing effectiveness.

• Apply statistical and machine learning techniques to quantify media impact and marketing performance.

• Build media budget optimization models and recommend optimal channel investment strategies.

• Interpret model outputs and present actionable insights to business stakeholders.

• Work closely with cross-functional teams to ensure successful deployment and continuous improvement of MMM solutions.

• Develop scalable, production-quality Python code following software engineering best practices.

• Maintain version control using Git and contribute to collaborative development workflows.

• Drive stakeholder discussions independently and manage day-to-day project engagements.

Required Skills

• 4–6 years of experience in Data Science .

• Minimum 3 years of hands-on experience in Marketing Mix Modeling (MMM) .

• Strong experience in end-to-end MMM solution development, including:

  • Requirement Gathering

  • Data Processing

  • Exploratory Data Analysis (EDA)

  • Feature Engineering

  • Short-Term & Long-Term Modeling

  • Model Validation

  • Media Optimization

• Strong understanding of marketing concepts including:

  • Adstock / Carryover Effects

  • Saturation Curves

  • Media Effectiveness Measurement

  • Marketing Attribution Concepts

• Deep understanding of MMM methodologies, including:

  • Additive Models

  • Multiplicative Models

  • Bayesian Regression

  • Statistical Modeling Techniques

• Strong expertise in media budget optimization and optimization algorithms.

• Excellent programming skills in Python with experience writing production-quality code.

• Experience using Git for version control.

• Strong analytical, problem-solving, and communication skills.

• Proven ability to manage stakeholders and independently drive project execution.

Preferred Qualifications

• Experience with Brand Equity Modeling .

• Exposure to advanced statistical modeling and Bayesian techniques.

• Experience working with marketing analytics or consumer goods organizations.

• Familiarity with cloud-based analytics environments is an advantage.

Key Competencies

• Marketing Mix Modeling (MMM)

• Marketing Analytics

• Media Budget Optimization

• Bayesian Regression

• Statistical Modeling

• Python

• Exploratory Data Analysis (EDA)

• Data Processing

• Stakeholder Management

• Business Consulting

• Production-quality Code Development

• Git Version Control