招聘
Required Skills
SQL
Python
Data Science
Analytics
Team Leadership
ML Model Evaluation
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.
Director – Data Science & Data Engineering Shape the Future of AI-Driven e Commerce Discovery About the Role
We're reimagining how people discover products in e Commerce—and we're looking for a visionary leader who blends technical depth with product intuition. If you're passionate about structured data, large language models, and building high-impact data products, this role is tailor-made for you.
As Director of Data Science & Data Engineering, you’ll lead a talented team of data scientists, analysts, and engineers working at the cutting edge of AI/ML, product analytics, and taxonomy design. Your mission? Drive innovation in product discovery through smarter data, scalable infrastructure, and breakthrough AI-powered solutions.
You’ll join the Product Knowledge org and play a key role in designing the backbone of next-gen search, recommendations, and generative AI experiences.
This is a high-impact, high-agency role—perfect for a hands-on leader who thrives in fast-paced, collaborative environments.
What You’ll Work On
Lead and inspire a cross-functional team to:
-
Transform Product Data into Insights
Conduct deep-dive SQL and Python analyses to uncover opportunities in taxonomy, ontology, and catalog structure that enhance discovery and user experience. -
Harness the Power of Generative AI
Use prompt engineering and LLMs to create innovative tools for classification, taxonomy validation, and data enrichment. -
Build & Evaluate AI/ML Models
Design frameworks to evaluate product knowledge models, semantic embeddings, and ML-based categorization systems. -
Drive Data-Informed Strategy
Translate complex findings into clear, actionable insights for Product and Engineering teams. Influence roadmap decisions on entity resolution, catalog optimization, and knowledge graph development. -
Partner Across Functions
Collaborate closely with Applied Research, Engineering, and Product teams to build and deploy high-impact data and AI solutions at scale. -
Experiment & Innovate Fast
Prototype quickly, validate hypotheses, and iterate on structured data and AI-driven solutions that push boundaries.
What You Bring
-
12 years of experience in data science or analytics roles, including5 years leading teams
-
Proven track record building data products, knowledge graphs, and scalable data pipelines
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Deep understanding of e Commerce search, recommendation systems, and product analytics
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Hands-on experience with LLMs, prompt engineering, and RAG techniques (preferred)
-
Strong communication skills and ability to influence cross-functional stakeholders
-
Experience evaluating ML models with custom metrics and robust frameworks
-
Startup mindset—comfortable with ambiguity, bias for action, and fast iteration
Why Join Us
-
Be at the forefront of AI-powered product discovery in e Commerce
-
Own high-impact initiatives in a startup-style culture with real autonomy
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Work alongside world-class talent across AI, Product, and Engineering
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Build solutions that scale—serving millions of users and shaping the future of shopping
Ready to lead the next wave of AI Data innovation in commerce? Let’s build the future together.
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.
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 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 for people with disabilities.
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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 Analyst, ALDP
1 reports
$178,250
total / year
Base
$155,000
Stock
-
Bonus
-
$178,250
$178,250
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
News & Buzz
eBay Introduces its Inaugural Climate Transition Plan to Advance Sustainable Commerce - Ethical Marketing News
Source: Ethical Marketing News
News
·
5w ago
eBay Stock: Is Wall Street Bullish or Bearish? - Barchart.com
Source: Barchart.com
News
·
5w ago
AustralianSuper Pty Ltd Sells 791,379 Shares of eBay Inc. $EBAY - MarketBeat
Source: MarketBeat
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5w ago
eBay Passes on Agentic Shopping — For Now - E-Commerce Times
Source: E-Commerce Times
News
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5w ago