Lead Data Scientist - Marketing Measurement

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.