招聘
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Parental Leave
•Paid Time Off
•Healthcare
•401k
•Equity
•Parental Leave
Required Skills
SQL
Python
R
A/B Testing
Statistics
Data Analysis
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 the future of e Bay’s C2C marketplace by advising where and how we invest to drive 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 Senior Data Scientist 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). You will manage the analytics strategy for one or more important product domains. You will develop the measurement and experimentation roadmap. You will build robust metrics, segmentation, and evaluation frameworks. These will improve 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 sophisticated 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:
In this role, you will have the outstanding opportunity to:
-
Own analytics strategy and execution for key C2C buyer success initiatives, influencing product direction through data-backed insights, experimentation, and thought leadership.
-
Define and evolve success metrics across buyer engagement, discovery and community, with a deep understanding of how these drivers contribute to C2C growth and marketplace health.
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Lead experimentation and causal analysis to evaluate product features, personalization strategies, and engagement mechanisms across buyer and seller touchpoints.
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Develop segmentation and behavioral frameworks to understand buyers who also sell and community-driven behaviors, identifying opportunities to unlock flywheel effects and long-term value.
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Partner cross-functionallyto invent roadmap decisions, influence trade-offs, and ensure analytics rigor is embedded in product development from ideation through launch and iteration.
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:
-
5-8 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.
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Good experience with site experimentation (A/B testing).
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Strong analytical foresight with thought leadership and critical thinking.
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Experience in advanced Machine Learning models and skills like Ensemble Models, LLM and Krylov, Py Torch, Tensorflow, Transformer etc.
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Good experience with both descriptive and inferential statistics – ability to build basic prototype models.
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Proven track record of turning insights into product growth opportunities in prior roles with growing scope and responsibilities, preferably in leading technology companies.
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Great articulation and communication skills - ability to explain complex analyses and insights into simple terms.
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Strong background in ecommerce product experience.
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Strong quantitative background with a Bachelor’s degree in Computer Science, Math, Economics, Physics, Engineering. Master’s degrees preferred.
The base pay range for this position is expected in the range below:
C**$124,000** - C**$165,500**
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 RRSP eligibility, 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.
This job posting relates to an existing vacancy within e Bay.
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, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talentebay.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.
Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. The eBay Careers website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.
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About eBay

eBay
PublicBuy, sell, and discover.
10,001+
Employees
San Jose
Headquarters
Reviews
3.8
5 reviews
Work Life Balance
4.2
Compensation
2.5
Culture
4.0
Career
2.8
Management
3.5
Pros
Good work-life balance
Great culture and environment
Nice colleagues and supportive people
Cons
Limited opportunities for growth
Old technology and systems
Call quotas and difficult customers
Salary Ranges
2,741 data points
Mid/L4
Mid/L4 · Business Process Analyst 2
3 reports
$111,775
total / year
Base
$97,196
Stock
-
Bonus
-
$111,775
$111,775
Interview Experience
4 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 75%
Negative 25%
Interview Process
1
Application Review
2
Online Assessment (CodeSignal)
3
Technical Phone Screen
4
Technical Interview Rounds
5
Final Review
Common Questions
Coding/Algorithm
Technical Knowledge
Problem Solving
Data Structures
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