eBay

Data Scientist

Location
Bengaluru
Work mode
Remote
Experience
2+ yrs exp
Pay
₹20–30 LPA (Est.)
Type
Full-time job, AI & ML
Added
13 November 2026
Apply by
15 November 2026

About this role

eBay's Trust & Risk team works to keep the marketplace safe for buyers and sellers. Its work covers seller protections, feedback, the Money Back Guarantee, seller performance, onboarding and transaction risk. As a Data Scientist on this team, you will analyse marketplace and transaction risk problems and track metrics on trust, loss and customer experience. You will also turn your findings into recommendations for partners in Product, Engineering, Policy, Shipping and Design. The role is listed as remote within India, tagged to Bangalore, and requires regular availability for meetings between 9 AM and 12 PM PDT. It suits analysts with a few years of experience who are comfortable with Python or R and SQL on large datasets.

eBay is hiring for Data Scientist, a full-time role based in Bengaluru (remote).

Who can apply: 2+ yrs exp. Skills: Python, R, SQL, Analytics, KPIs.

Hirastra checked that this opening is live. Apply directly through the official posting; applying is always free.

What you'll do

  • Apply analytical and quantitative methods to Trust & Risk business problems
  • Analyse marketplace and transaction risk issues to find ways to reduce losses and improve experience
  • Define and monitor KPIs on trust, risk, loss and customer experience, and investigate metric movements
  • Run analytical projects, measure outcomes and turn findings into recommendations
  • Work with Product, Engineering, Policy, Shipping and Design partners

What you need

  • BA/BS degree with 2+ years of relevant experience, or an advanced degree with relevant experience, in analytics, quantitative research or data science
  • Proficiency in Python or R and SQL
  • Ability to analyse large, complex datasets and turn them into business insights
  • Ability to independently execute well-scoped analytical projects
  • Clear communication with technical and non-technical stakeholders
  • Availability for meetings between 9:00 AM and 12:00 PM PDT, working across time zones

Skills

  • Python
  • R
  • SQL
  • Analytics
  • KPIs

"Est." = Hirastra's estimate based on market data, not an official figure.

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