Job Description

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 role and the team:

eBay's

India Analytics Center

is a vital hub within our global analytics organization, bringing together a team of 75+ talented business analysts, data scientists, and machine learning engineers. We partner across key business areas -- including Customer Service, Finance, Category Management, Seller Experience, Shipping & Logistics, and Monetization -- to deliver data-driven insights that shape eBay's strategy and customer experience.


We're looking for a

Data Science Analyst

to join our

Customer Service Science

team, with deep expertise in

Large Language Models (LLMs)

and

natural language understanding (NLU)

. In this role, you'll help evolve

Nexus

, our intelligent AI-powered system that analyzes, summarizes, and surfaces customer pain points from massive volumes of unstructured data -- spanning eBay's listing posts, customer support conversations, surveys, and social media feedback.


As part of this team, you'll play a key role in transforming how eBay listens to and acts on customer feedback. You'll work at the intersection of

AI research, data science, and business intelligence

, collaborating closely with product managers, UX researchers, engineers, and analysts. You'll design and deploy models that turn qualitative feedback into actionable insights and integrate seamlessly with a

JavaScript-based front end

that empowers business and product stakeholders to explore and act on customer sentiment in real time.

What you will accomplish:

Modeling & NLP Development

+ Design

LLM-based pipelines

(e.g., using Langchain frameworks) to identify and summarize customer pain points from textual data.
+ Develop

summarization, clustering, and topic modeling

approaches to group recurring themes across markets and product lines.
+ Apply

prompt engineering

,

retrieval-augmented generation (RAG)

, and

embedding search

to improve model accuracy and relevance.
+ Use

machine learning

methods in concert with LLM.

Data Engineering & Processing

+ Build and maintain data pipelines to ingest and clean data from diverse sources (e.g., surveys, customer support tickets, product reviews, social media, and CRM systems).
+ Ensure

data quality, scalability, and compliance

with internal governance and data privacy policies.
+

Productionize models

and integrate outputs with downstream systems and dashboards.

Insights Delivery & Visualization

+ Design and build

interactive visualizations

(in JavaScript) that make model outputs accessible and actionable for non-technical stakeholders.
+ Partner with Insights teams to create

data stories and presentations

that influence business strategy using clear, human-readable summaries of complex findings.

What you will bring:

Ability to derive

insight

from data,

visualize

it appropriately and

influence

others to drive outcomes MSc or PhD in

Computer Science, Data Science, Statistics, or a related field

. 4+ years of experience in

machine learning

,

NLP

, or

data-driven product development

. Strong coding proficiency in

Python

(Pandas, PyTorch, Hugging Face, LangChain, umap, hdbscan, etc.) Strong experience with front end development with

JavaScript

and

data visualization libraries (e.g. D3.js)

Experience deploying and managing machine learning services in containerized environments using

Docker

and

Kubernetes

. Deep understanding of

vector databases

,

semantic search

, and

embedding-based retrieval systems

. Proficient with GitHub and modern version control best practices (e.g. code reviews, CI/CD workflows). Proven experience working with

large-scale unstructured text data

.

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 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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