Lead Data Scientist- (Marketing Measurement – DXP & Email Impact)

Job Description

Location: Bangalore
Work Mode: Work from Office (4 days/week)
Experience: 6+ years

About the Role

We are hiring senior Data Scientists with deep expertise in Marketing Measurement to build production-grade impact measurement models for Digital Experience Platforms (Website & App) and Email campaigns. The role focuses on quantifying incremental lift in sales, margin, conversion, revenue, and engagement, along with feature-level attribution across banners, journeys, ads, and UI elements. You will partner closely with Marketing, Product, and Analytics teams to drive data-backed decision-making.

Key Responsibilities

DXP & Email Impact Measurement

• Build models to measure incremental lift from website/app features and weekly email campaigns.
• Provide granular attribution across banners, journeys, UI components, and ads.
• Design and analyze A/B experiments and causal inference frameworks.

Model Development & Deployment

• Develop production-ready statistical & ML models (A/B testing, causal inference, uplift modeling, Markov chains).
• Build automated pipelines for data processing, model scoring, monitoring, and retraining.

Validation & Stakeholder Communication

• Deliver robust validation reports with accuracy and performance metrics.
• Communicate clear, actionable insights to senior stakeholders.
• Partner with Marketing, Product, Engineering, and Analytics teams.

Key Deliverables

• Production-grade Python / PySpark code for impact measurement models.
• Validation & testing documentation with performance metrics.
• Automated pipelines for scoring, monitoring, and retraining.
• Impact dashboards & executive-ready insights.

Required Skills & Experience

• 6+ years in Data Science with strong exposure to Marketing Measurement & Experimentation.
• Deep expertise in statistical modeling, causal inference, A/B testing, Markov chain models and ML.
• Markov chain models
• Strong hands-on experience in Python & PySpark.
• Experience building scalable production ML pipelines.
• Excellent communication & stakeholder management skills.
• Ability to lead complex analytical programs independently.

Who Should Apply

Senior Data Scientists with strong end-to-end ownership of marketing measurement, from experimental design to production deployment, capable of driving large-scale business impact.