Data Scientist - MMM

Modern Ballistic; Bengaluru; Hybrid; INR 3,000,000 - 6,000,000; Full time

Job summary

Modern Ballistic in Bengaluru, India is seeking an experienced Data Scientist to build, validate and refine Marketing Mix Models that measure how marketing channels drive sales and KPIs.

You will quantify ROI across TV, digital, print, social and promotions, run scenario planning and budget optimization, and present clear insights to stakeholders. The role demands deep statistical modelling, Python and SQL proficiency, and strong collaboration with analytics, marketing and client teams.

Qualifications

• 25 years of experience in Data Science / Advanced Analytics.
• Strong hands-on experience in Marketing Mix Modelling (MMM) – must have.
• Proficiency in Python (pandas, NumPy, statsmodels, scikit-learn) and SQL.
• Solid understanding of machine learning, regression and statistical modelling.
• Knowledge of adstock, saturation curves, carryover effects and ROI measurement.
• Good communication and stakeholder management skills.

Responsibilities

• Build, validate and refine Marketing Mix Models to measure impact of channels on sales and KPIs.
• Quantify ROI across media channels and recommend optimal budget allocation.
• Data collection, cleaning and feature engineering on large datasets.
• Apply regression, Bayesian and time-series techniques for modelling.
• Run scenario planning and budget optimisation simulations.
• Translate model outputs into clear insights and presentations for stakeholders.
• Work with analytics, marketing and client teams to deliver projects end to end.

Skills

Data science

Marketing mix modelling

Python

SQL

Statistics

Communication

Tools

Tableau

Power BI

Azure

AWS

GCP

PyMC-Marketing

Job description

Role & responsibilities

Key Responsibilities

• Build, validate and refine Marketing Mix Models to measure the impact of marketing channels on sales and business KPIs
• Quantify ROI across media channels (TV, digital, print, social, promotions) and recommend optimal budget allocation
• Perform data collection, cleaning and feature engineering on large marketing, sales and media datasets
• Apply regression, Bayesian and time-series techniques to model adstock, saturation and diminishing returns
• Run scenario planning and budget optimisation simulations
• Translate model outputs into clear, actionable insights and presentations for business stakeholders
• Work closely with analytics, marketing and client teams to deliver projects end to end

Required Skills

• 25 years of experience in Data Science / Advanced Analytics
• Strong hands-on experience in Marketing Mix Modelling (MMM) – must have
• Proficiency in Python (pandas, NumPy, statsmodels, scikit-learn) and SQL
• Solid understanding of machine learning, regression and statistical modelling
• Knowledge of adstock, saturation curves, carryover effects and ROI measurement
• Good communication and stakeholder management skills

Good to Have

• Bayesian MMM tools such as PyMC-Marketing, Robyn (Meta) or LightweightMMM (Google)
• Experience in CPG, retail, pharma or e-commerce marketing analytics
• Exposure to multi-touch attribution, causal inference or experimentation (A/B testing)
• Visualisation tools such as Tableau or Power BI
• Cloud platforms (Azure / AWS / GCP)