Data Science Analyst at eBay

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

E-commerce, TechnologyIndustries

Requirements

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
Ability to derive insight from data, visualize it appropriately and influence others to drive outcomes
Deep expertise in Large Language Models (LLMs) and natural language understanding (NLU)

Responsibilities

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
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
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

Skills

Large Language Models

LLMs

Natural Language Understanding

NLU

Data Science

Machine Learning

Python

NLP

Business Intelligence

eBay

Global online marketplace for buying and selling

About eBay

eBay is an online marketplace where individuals and businesses can buy and sell a wide range of products, including electronics, fashion, and collectibles. Users can list items for auction or use the 'Buy It Now' option for immediate purchases. eBay stands out from competitors with its vast selection, user-friendly interface, and strong buyer and seller protections, including free shipping on many items. The company's goal is to facilitate seamless transactions while generating revenue through transaction fees, advertising, and subscription services.

San Jose, CaliforniaHeadquarters

1995Year Founded

$6.5MTotal Funding

IPOCompany Stage

Consumer Software, Consumer GoodsIndustries

10,001+Employees

Benefits

Health Insurance

401(k) Company Match

Paid Vacation

Parental Leave

Risks

Niche e-commerce platforms like StockX and Poshmark may draw away eBay's customers.

Social media platforms with shopping features could divert traffic from eBay.

Direct-to-consumer brands bypassing marketplaces may reduce eBay's seller base.

Differentiation

eBay offers a unique auction-style listing alongside 'Buy It Now' options.

The platform provides robust buyer and seller protections, enhancing trust in transactions.

eBay's vast product selection includes new, refurbished, and second-hand items.

Upsides

eBay's acquisition of GSI Commerce strengthens its position as a global commerce partner.

The rise of social commerce offers eBay opportunities to integrate social shopping features.

Increased focus on sustainability aligns with eBay's refurbished and second-hand product categories.

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