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Manager, Data Science

Bengaluru, Karnātaka, India

Live, first seen by us 37 days ago
Pay
Pay not listed
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Analyze how buyers engage through discovery and consideration

  • Influence the Buyer Discovery and Consideration product roadmap with insights

  • Build personalization opportunities using advanced machine learning

  • Run experiments such as A/B tests to measure buyer growth

From the employer’s posting
deep understanding of user engagement on the key aspects of their journey through discovery and consideration
influence decision making of the Buyer Discovery & Consideration product team’s roadmap with comprehensive insights and thought leadership
personalization opportunities leveraging advanced machine learning skills
Experience with experimentation (A/B testing)

What you’ll bring

All qualifications

Core experience

  • Hands-on SQL, R, Python and Tableau skills
  • Experience with advanced machine learning models
  • Bachelor's degree in Computer Science, Math, Economics, Physics or Engineering
  • Strong e-commerce product experience
Qualification wording
hands-on ability in using SQL, R, Python, Tableau, etc.
Experience in advanced Machine Learning models
Strong quantitative background with a Bachelor’s degree in Computer Science, Math, Economics, Physics, Engineering
Strong background in ecommerce product experience
Education & alternatives
- 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. - Good experience with both descriptive and inferential statistics – ability to build basic prototype models.
Apply at eBay

Posting record

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Status in our records
Live
First seen by us
Oct 8, 202637 days ago
Recorded sightings
82
Last seen by us
Nov 15, 2026
Reposted
once since Aug 18, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Time since we first saw it

Day 37

Similar jobs usually come down between day 8 and day 57.

At eBay, jobs usually come down by about day 34.

From 9,519 similar postings that came down, and 69 of eBay’s. Coming down is not always a hire.

eBay is hiring

32 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Leadership hiring is steady
  • Takes jobs down at a usual pace
  • 3% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • SQL
  • Tableau
  • PyTorch
  • TensorFlow
Where the posting names them
- 7+ 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. - Experience in advanced Machine Learning models and skills like Ensemble Models, LLM and Krylov, PyTorch, Tensorflow, Transformer etc.
- Strong technical skills to turn big data into concrete insights with hands-on ability in using SQL, R, Python, Tableau, etc. - Experience in advanced Machine Learning models and skills like Ensemble Models, LLM and Krylov, PyTorch, Tensorflow, Transformer etc. - Strong analytical foresight with thought leadership and critical thinking.

Your next step

Complete your application on ebay.wd5.myworkdayjobs.com. The employer’s form will show what is required.

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Has eBay posted this job before?

Yes. We’ve followed one other Manager, Data Science job there since August 2026. It came down after 12 days.

  1. BengaluruCame down after 12 days, first seen Aug 18
  2. This jobUp 38 days so far, first seen Oct 8

About eBay

People
About 12,300 in 2025, up 7% from the year before.Annual report (SEC Form 10-K)
Company
Listed as EBAY.
H-1B visas
155 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Layoff notices
Notices this year and last cover 670 people. The latest was filed October 21, 2026.State WARN notices

Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.

Weekly new Data Leadership postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 754, the most 1,166, and the latest week had 892.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

At eBay, 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:

We are responsible for setting the future direction of eBay: our ambition, where we play, and how we win in the market. Our team is responsible for deeply understanding the needs of our core buyers and creating the strategies that will differentiate eBay relative to our competitors. We work very closely with product, technology, and regional business teams to ensure the strategy is translated into action across the end-to-end customer experience.

The Buyer Discovery & Consideration team in eBay plays a crucial role in influencing a potential customer's purchasing decision, serving as a dedicated space to showcase detailed information about a specific product, and providing personalization and inspiration driven recommendations. We are seeking a skilled Data Scientist / Data Analyst with specialized experience in this domain with strong e-commerce experience. 
 

What you will accomplish:
 

As a Data Science Analyst, you will have the outstanding opportunity to influence decision making of the Buyer Discovery & Consideration product team’s roadmap with comprehensive insights and thought leadership. You will possess a deep understanding of user engagement on the key aspects of their journey through discovery and consideration. The successful applicant will bring expertise in customer behavior understanding, personalization opportunities leveraging advanced machine learning skills and keen insights into buyer growth. 

Your successful contributions will be pivotal in enhancing the overall buyer experience throughout the buyer lifecycle stages. We are looking for a candidate who is not only technically proficient but also strategically minded, capable of navigating and optimizing our sophisticated online shopping ecosystem.
 

What you will bring:

  • 7+ 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.

  • Experience in advanced Machine Learning models and skills like Ensemble Models, LLM and Krylov, PyTorch, Tensorflow, Transformer etc.

  • Strong analytical foresight with thought leadership and critical thinking.

  • 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.

  • Good experience with both descriptive and inferential statistics – ability to build basic prototype models.

  • Experience with experimentation (A/B testing)

Additional Details

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.

 

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Bengaluru, Karnātaka, India

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