Data Scientist

indiumsoft; Bengaluru Urban; On-site; INR 900,000 - 1,300,000; Full time

Job summary

indiumsoft is seeking a Data Scientist — Marketing Mix Modeling (MMM) expert to design and deliver end-to-end MMM solutions, including media optimization, and stakeholder engagement to drive actionable business insights. The ideal candidate will have hands-on MMM experience, strong Python coding skills, and the ability to lead client engagements while delivering scalable analytics in production environments.

Experience with Brand Equity Modeling is a plus.

Qualifications

• 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 data processing and model validation.
• Strong understanding of marketing concepts: Adstock, Carryover, Saturation, Media Effectiveness.
• Proficiency in Python and Git for production-quality code and version control.

Responsibilities

• Design, develop, and implement end-to-end Marketing Mix Modeling (MMM) solutions.
• Collaborate with business stakeholders to gather requirements and translate objectives into analytical solutions.
• Perform data collection, cleansing, preprocessing, EDA, feature engineering, and model validation.
• Develop short-term and long-term MMM 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 investments.
• Interpret outputs and present actionable insights to stakeholders.
• Work with cross-functional teams to deploy MMM solutions and enable continuous improvement.
• Develop scalable, production-quality Python code and maintain Git workflows.
• Drive stakeholder discussions and manage day-to-day project engagements.

Skills

Data Science

MMM

Python

Stakeholder Management

Communication

Problem Solving

Tools

Git

Python

Job description

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