Lead Data Scientist – Marketing Mix Modeling (MMM)

Role Overview

We are looking for an experienced Lead Data Scientist – MMM to lead high-impact Marketing Mix Modeling and advanced analytics engagements. This role combines solid technical expertise in econometric modeling with team leadership, client management, and strategic consulting capabilities to drive data-driven marketing decisions and optimize marketing ROI.

Key Responsibilities:

- Lead, mentor, and manage a team of data scientists delivering Marketing Mix Modeling (MMM) and advanced analytics projects.
- Provide hands-on technical guidance on model development, validation, and actionable insights.
- Drive team performance, career development, continuous learning, and technical excellence.
- Partner with senior client stakeholders to communicate insights, influence business decisions, and strengthen client relationships.
- Manage end-to-end client engagements, including project scoping, planning, milestone tracking, and delivery.
- Oversee the complete MMM lifecycle, including data preparation, modeling, forecasting, and marketing ROI optimization.
- Apply advanced statistical methods, causal inference, and machine learning to improve modeling outcomes.
- Build scalable,



automated analytics pipelines to enhance efficiency and model performance.

Required Skills and Experience:

- 6-15 Years of experience in Data Science or Advanced Analytics, with significant hands-on expertise in Marketing Mix Modeling (MMM).
- Proven experience leading data science teams and managing direct reports.
- Experience delivering MMM projects for global clients across multiple industries.
- Strong expertise in statistical and econometric modeling, including regression, time-series, Bayesian, and hierarchical models.
- Advanced proficiency in Python and strong SQL skills for data extraction and manipulation.
- Experience working with large, complex, multi-source datasets.
- Excellent problem-solving, communication, and stakeholder management skills.
- Ability to present complex analytical insights to senior executives and influence business decisions.

Good to Have:

- Experience with data visualization tools such as Tableau or Power BI.
- Ability to develop client-ready dashboards and communicate analytical findings effectively.
- Knowledge of causal inference, machine learning, and automated analytics solutions.

Interested candidates can share the resume at [email protected]

📌 Lead Data Scientist - Marketing Mix Modeling (Bengaluru)
🏢 addaptech
📍 Bengaluru