Data Science Analyst
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Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
At eBay were more than a global ecommerce leader were changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. Were 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. Were 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:
eBays India Analytics Centeris 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 eBays strategy and customer experience.
Were looking for a Data Science Analystto join our Customer Service Scienceteam with deep expertise in Large Language Models (LLMs)and natural language understanding (NLU). In this role youll help evolve Nexus our intelligent AI-powered system that analyzes summarizes and surfaces customer pain points from massive volumes of unstructured data spanning eBays listing posts customer support conversations surveys and social media feedback.
As part of this team youll play a key role in transforming how eBay listens to and acts on customer feedback. Youll work at the intersection of AI research data science and business intelligence collaborating closely with product managers UX researchers engineers and analysts. Youll design and deploy models that turn qualitative feedback into actionable insights and integrate seamlessly with a JavaScript-based front endthat 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 modelingapproaches to group recurring themes across markets and product lines.
- Apply prompt engineering retrieval-augmented generation (RAG) and embedding searchto 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 compliancewith internal governance and data privacy policies.
- Productionize modelsand 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 presentationsthat influence business strategy using clear human-readable summaries of complex findings.
What you will bring:
- Ability to derive insightfrom data visualizeit appropriately and influenceothers 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. )
- Experience deploying and managing machine learning services in containerized environments using Dockerand 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 Noticefor 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 you have a need that requires accommodation please contact us at. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBays commitment to ensuring digital accessibility for people with disabilities.
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Required Experience:
IC
Key Skills
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Data Visualization
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
About Company
Founded in 1995 in San Jose, Calif., eBay (NASDAQ: EBAY) is where the world goes to shop, sell and give. Whether you’re buying new or used, common or luxurious, trendy or rare – if it exists in the world, it’s probably for sale on eBay. Our great value and unique selection help every ... View more
