Data Science - Analyst 3 at eBay

At e Bay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

About the team and role:

The Buyer Success Product Analytics team is responsible for setting the strategic direction of e Bay: our ambition, where we play, and how we win in the market. We play a meaningful role in crafting e Bay’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 e Bay’s C2C strategy across core buyer experiences, including Homepage, Discovery & Recommendations, View Item, and Community surfaces (e.g., My e Bay 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 e Bay ecosystem.

What you will accomplish:

As a Data Science Analyst, you will have the outstanding opportunity to:

• 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.
• This role is not focused on routine reporting or operational KPI tracking, but on forward-looking, experimental and predictive analysis to shape product direction.
• 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.

Your work will be pivotal in improving the end-to-end buyer experience across the buyer lifecycle, strengthening buyer & seller relationships, and enabling e Bay’s broader C2C ambitions. We are looking for a leader who combines strong technical depth with strategic thinking, business acumen, and the ability to navigate and optimize a complex, global marketplace.

What you will bring:

• 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, Py Torch, 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. Master’s degrees preferred.

Additional Details

The base pay range for this position is expected in the range below:

$85,600 - $151,100

Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Remote roles are not eligible for U.S. visa sponsorship.

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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