Data Science - Analyst 3

eBay•Austin, TX

2d•Remote

About The Position

The Buyer Success Product Analytics team is responsible for setting the strategic direction of eBay: our ambition, where we play, and how we win in the market. We play a meaningful role in crafting eBay’s C2C marketplace future. We inform investment choices to encourage balanced growth, engagement, and marketplace vibrancy. We partner closely with Product, Engineering, Design, and Business leaders to define success across the end-to-end buyer journey and ensure data-driven decisions at scale. We are seeking a Data Scientist (L24) to take a leadership role in accelerating eBay’s C2C strategy across core buyer experiences, including Homepage, Discovery & Recommendations, View Item, and Community surfaces (e.g., My eBay and key engagement initiatives). In this role, you will own data analysis for one or more high-impact product domains. You will create the measurement and experimentation roadmap. You will develop robust metrics, segmentation, and evaluation frameworks. These frameworks will optimize personalized discovery, trust, and buyer–seller engagement in a C2C marketplace. You will act as a strategic thought partner to Product, Engineering, Design, and Business stakeholders, translating complex data into clear narratives and actionable recommendations that drive buyer and seller engagement, increase marketplace vibrancy, and deliver incremental GMB/GMV. This is a high-impact role influencing how millions of buyers discover outstanding inventory and how buyers and sellers connect and transact across the eBay ecosystem.

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.
Improving the end-to-end buyer experience across the buyer lifecycle, strengthening buyer & seller relationships, and enabling eBay’s broader C2C ambitions.