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

Valuable 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)

📌 Data Scientist - MMM (Bengaluru)
🏢 Modern Ballistic
📍 Bengaluru