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

Job Summary

We are looking for a Data Scientist with robust 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
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📌 Data Scientist (Bengaluru)
🏢 Indium
📍 Bengaluru