Data Science - Analyst 3

eBay•Austin, TX

1d•Remote

About The Position

The Buyer Success Product Analytics team at eBay is responsible for setting the strategic direction of eBay, including its ambition, market positioning, and winning strategies. This team plays a crucial role in shaping the future of eBay's C2C marketplace by informing investment decisions to foster balanced growth, engagement, and marketplace vibrancy. They collaborate closely with Product, Engineering, Design, and Business leaders to define success across the entire buyer journey and ensure data-driven decision-making at scale. The role involves a Data Scientist (L24) taking a leadership position in advancing eBay’s C2C strategy across key buyer experiences such as Homepage, Discovery & Recommendations, View Item, and Community surfaces. The individual will own data analysis for high-impact product domains, create the measurement and experimentation roadmap, and develop robust metrics, segmentation, and evaluation frameworks to optimize personalized discovery, trust, and buyer-seller engagement within a C2C marketplace. This role requires acting as a strategic thought partner to stakeholders, translating complex data into clear narratives and actionable recommendations to drive buyer and seller engagement, increase marketplace vibrancy, and deliver incremental GMB/GMV. It's a high-impact position influencing how millions of buyers find inventory and how buyers and sellers connect and transact on eBay.

Requirements

3-5 years of experience in analytics/data science
Strong technical skills to turn big data into concrete insights with hands-on ability in using SQL, R, Python, Tableau, etc.
Good experience with site experimentation (A/B testing).
Strong analytical foresight with thought leadership and critical thinking.
Experience in advanced Machine Learning models and skills like Ensemble Models, LLM and Krylov, PyTorch, Tensorflow, Transformer etc.
Good experience with both descriptive and inferential statistics – ability to build basic prototype models.
Proven track record of turning insights into product growth opportunities in prior roles with increasing scope and responsibilities, preferably in leading technology companies.
Great articulation and communication skills - ability to explain complex analyses and insights into simple terms.
Strong background in ecommerce product experience.
Strong quantitative background with a Bachelor’s degree in Computer Science, Math, Economics, Physics, Engineering.

Nice To Haves

Master's degrees preferred.

Responsibilities

Applies advanced statistical theory and machine learning techniques to develop novel analytical approaches to complex product problems.
Designs and builds new measurement frameworks, experimentation methodologies, and modeling approaches where none exist.
Owns end-to-end analytics strategy for Buyer C2C product domains, including defining success metrics, experimentation roadmaps, and long-term measurement approaches.
Operates with a high degree of autonomy in solving ambiguous, open-ended product and marketplace problems with significant business impact.
Directly influences revenue and marketplace outcomes through data-driven recommendations impacting buyer and seller behavior at scale.
Leads design, execution, and interpretation of A/B tests and quasi-experimental methods to establish causal impact of product changes.
Partners with and influences senior Product, Engineering, and Business leaders on roadmap trade-offs and investment decisions.
Drives thought leadership in analytics by introducing new methodologies, tools, or modeling approaches that advance product understanding.
Improves the end-to-end buyer experience across the buyer lifecycle, strengthening buyer & seller relationships, and enabling eBay’s broader C2C ambitions.