Data Scientist

Ixiegaming; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Indium in Bengaluru is seeking a Data Scientist specializing in Marketing Mix Modeling (MMM) to build end-to-end marketing analytics solutions. You will develop MMM models, support media optimization, and engage with clients to deliver actionable insights.

The role requires strong Python skills, hands-on MMM experience, and the ability to drive projects with stakeholders while ensuring production-quality code and scalable deployment.

Qualifications

• 4–6 years of experience in Data Science.
• Minimum 3 years hands-on experience in Marketing Mix Modeling (MMM).
• Experience with data processing, Exploratory Data Analysis (EDA).
• Strong Python programming and production-quality code development.

Responsibilities

• Design and implement end-to-end MMM solutions.
• Collaborate with stakeholders to translate objectives into analytics.
• Perform data collection, cleansing, preprocessing, EDA, feature engineering, and model validation.
• Develop Short-Term and Long-Term MMMs to measure marketing effectiveness.
• Build media budget optimization models and recommend channel investments.
• Present actionable insights and drive deployments with cross-functional teams.
• Maintain Git-based version control and deliver scalable code.

Skills

Data Science

MMM

Python

EDA

Stakeholder Management

Model Validation

Bayesian Regression

Education

Bachelors in Data Science/Statistics/Analytics

Tools

Git

Job description

Bangalore North, India | Posted on 06/22/2026

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).
• Requirement Gathering
• Data Processing
• Exploratory Data Analysis (EDA)
• Short‑Term & Long‑Term Modeling
• 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:
  Bayesian Regression
  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.
• 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

At Indium, diversity, equity, and inclusion (DEI) are core values. We promote DEI through a dedicated council, expert sessions, and tailored training, fostering an inclusive workplace. Our initiatives, like the WE@IN women empowerment program and DEI calendar, create a culture of respect and belonging. Recognized with the Human Capital Award, we're committed to an environment where everyone thrives. Join us in building a diverse, innovative workplace.

Indium do not solicit or accept any form of fees or payment at any stage of the hiring process.