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Director Data Science & Data Engineering

eBay

Director Data Science & Data Engineering

eBay

Bengaluru, India

·

On-site

·

Full-time

·

2w ago

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

  • Deep understanding of e Commerce search, recommendation systems, and product analytics

  • 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

  • Work alongside world-class talent across AI, Product, and Engineering

  • 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

eBay

Public

Buy, 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