Lead Data Scientist

Overview

The Role

We are looking for a Lead Data Scientist to build and lead our Data Science function at the intersection of Generative AI, marketing intelligence, and programmatic media.

In this role, you will combine hands-on technical leadership, advanced marketing analytics, and AI innovation to design scalable solutions that power decision-making across digital and offline media channels. You will work closely with Product, Engineering, and Business teams to translate complex data into actionable intelligence.

What You Will Do

Lead & Build

• Lead, mentor, and scale a high-performing team of data scientists.
• Set technical direction and best practices across modeling, experimentation, and AI adoption.
• Drive a culture of innovation, accountability, and data-driven decision-making.

Generative AI & LLMs (Core Focus)

• Lead the design and deployment of Generative AI and Large Language Model (LLM) solutions for marketing and media use cases.
• Apply NLP techniques such as sentiment analysis, topic modeling, and text classification to enrich marketing insights.
• Integrate GenAI into predictive workflows, reporting automation, and proactive intelligence generation.

Advanced Marketing Analytics

• Design and implement advanced analytics and machine learning models, including:
• Marketing Mix Modeling (MMM)
• Multi-Touch Attribution (MTA)
• Propensity and RFM modeling
• Bayesian and non-parametric methods
• Apply experimentation frameworks (A/B testing, significance testing) to validate impact and optimize performance.

Predictive Modeling & Optimization

• Build predictive models to optimize revenue, audience behavior, bid strategies, and inventory performance.
• Analyze campaign and media trading data to improve eCPM, fill rates, and ROI across channels such as display, video, mobile, social, native, and advanced TV/audio.

Data Platforms & Architecture

• Architect scalable data pipelines integrating multiple sources across audience, pricing, and contextual datasets.
• Oversee integrations with DSPs, SSPs, DMPs, and other ad-tech platforms.
• Ensure high standards of data quality, governance, and performance.

Cross-Functional Collaboration

• Partner closely with Product, Engineering, Yield, Sales, Finance, and Operations teams.
• Translate complex analytical outputs into clear, actionable insights for business and client stakeholders.
• Contribute to the evolution of MADTECH.AI as a market-leading AI product.

What We’re Looking For

Experience & Education

• Master’s or Ph.D. in Statistics, Computer Science, Engineering, or a related quantitative field.
• 7–9 years of experience in Data Science, Marketing Analytics, or Predictive Modeling, with proven leadership exposure.

Technical Expertise

• Machine Learning: regression, classification, clustering, dimensionality reduction.
• Ensemble methods: Random Forest, Gradient Boosting, XGBoost.
• Strong experience with Generative AI, LLMs, and NLP in real-world applications.
• Marketing analytics frameworks: MMM, MTA, attribution modeling.
• Experimentation and statistical testing.
• Cloud platforms: AWS or GCP (model deployment and monitoring).

You’ll Thrive If You…

• Enjoy building at scale in a fast-growing, product-driven environment.
• Can bridge deep technical work with business impact.
• Communicate complex ideas clearly to non-technical audiences.
• Are excited to shape the future of AI-powered marketing intelligence.

Location

• This role is based in Mysuru or Bengaluru.