This role pays more than
59%
of similar roles. Most pay
$151,991–$223,750
— the shaded band above.
At the midpoint, this role pays about
$199k
versus about
$188k
for comparable roles.
Based on 240 similar postings.
Employer
About eBay
eBay is a global e-commerce company that operates an online marketplace connecting buyers and sellers for a wide range of new and used goods.
eBay currently has
28 open roles
on FindRole.
Listed pay typically runs
$188,800–$227,500
across 27 roles with salary data.
As a Marketing Data Science Analytics Lead on the CRM Data Science Analytics team, you will shape customer intelligence, AI-powered targeting, and CRM optimization to drive engagement and growth across the customer lifecycle. You will define measurement strategies, develop machine learning models for propensity, churn, uplift, and recommendations, and lead rigorous experimentation using A/B testing and causal inference. Your daily work involves building scalable analytics solutions through automated data pipelines and translating complex findings into business recommendations for cross-functional partners. The role requires advanced proficiency in SQL and Python within modern environments including Spark, Databricks, Airflow, and Claude Code. You will solve problems related to personalization at scale across email, push, and in-app channels while managing large-scale analysis and analytics engineering to improve how customers experience the marketplace.
Define success metrics and optimization frameworks to connect CRM investments to retention, engagement, and revenue growth.
Develop and improve machine learning models for propensity, churn, uplift, recommendation, and next-best-action.
Lead rigorous experimentation using A/B testing and causal measurement to generate actionable insights.
Build scalable analytics and AI solutions through automated data pipelines and self-service tools.
Optimize CRM strategies across email, push, in-app, and onsite channels by recommending data-driven targeting and content.
Translate complex analytical findings into clear business recommendations for cross-functional partners and senior leaders.
Mentor team members and establish best practices to strengthen internal analytics capabilities.
What we're looking for
Proven experience leading CRM, marketing, or customer analytics initiatives in e-commerce, marketplace, subscription, or consumer technology environments.
Deep expertise in machine learning and AI applications for CRM, including churn prediction, propensity modeling, and LTV forecasting.
Strong foundation in experimentation and statistical methods, including experimental design, power analysis, and causal inference.
Advanced proficiency in SQL and Python for large-scale analysis, modeling, and analytics engineering.
Experience working with AI-powered products, CRM/marketing technology platforms, and modern data ecosystems like Spark, Databricks, and Airflow.
Strong business judgment and communication skills to translate complex insights into recommendations for senior leaders.