Manager, Data Science 1
eBay
eBay has announced exciting career opportunities for the position of Manager, Data Science 1 in Bengaluru, India. This is a great chance for qualified candidates to join a globally recognized organization in 2026. Read on for complete details on eligibility, responsibilities, and how to apply.
eBay is hiring talented professionals for the position of Manager, Data Science 1 in Bengaluru, India. This opportunity is ideal for candidates looking to build a strong career in the IT industry in 2026. Applicants should carefully review the eligibility criteria, required skills, and selection process before applying online.
The recruitment drive for 2026 offers a great chance for job seekers to join a reputed organization. Make sure to prepare well for the interview and submit your application before the deadline. Read below for full details on how to apply, educational qualifications, and other important instructions.
Job Overview
| Role: | Manager, Data Science 1 |
| Location: | Bengaluru, India |
| Employment Type: | Full Time / Permanent |
✅ Why Apply at eBay?
- Work with a globally recognized Fortune-500 organization.
- Competitive salary packages and excellent employee benefits.
- Structured career growth and learning opportunities.
- Exposure to cutting-edge technologies and global projects.
🛠️ Key Skills Required
Please refer to the Job Description section below for the full list of required skills and qualifications.
🚀 Why Manager, Data Science 1 is a Strategic Career Move in 2026
Joining eBay as a Manager, Data Science 1 offers excellent growth prospects. Here's why this role is trending:
- Senior potential is huge, with paths leading to AI Architect or Chief Data Officer.
- Data Science is labeled the 'Sexiest Job of the 21st Century'.
Industry Insight: Data Scientist roles in Bengaluru, India are currently seeing high demand.
Organization Details
eBay
🎯 How to Prepare for Manager, Data Science 1 Role
To crack the interview at eBay, focus on the following:
- Brush up on Statistics and Probability theory.
- Work on real-world datasets from Kaggle to showcase your skills.
- Master Python libraries: Pandas, NumPy, Scikit-learn, and TensorFlow.
Important Dates
- Posted On: 09 October 2026
- Deadline: Apply ASAP
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 team and the role:
Our team helps shape the future direction of eBay by defining where we play, how we win, and how we create differentiated experiences for our customers. We focus on deeply understanding the needs of core buyers and translating those insights into strategies that strengthen eBay’s position in the market. To bring that strategy to life, we partner closely with Product, Technology, and regional business teams across the end-to-end customer experience.
Within this space, the View Item team plays a critical role in the buyer journey by helping customers evaluate products and make confident purchase decisions. As a Data Science Analyst supporting this domain, you will apply advanced analytics, experimentation, and machine learning to inform product strategy and influence roadmap decisions. This is a high-impact role for someone who combines strong technical depth with strategic thinking and brings a passion for improving the e-commerce experience at scale.
What you will accomplish:
Shape the View Item product roadmap by delivering insights and analytical thought leadership that influence product, engineering, and business decisions.
Define and own success metrics, measurement frameworks, and experimentation roadmaps for key View Item product areas, helping the team make faster and more confident decisions.
Apply advanced statistical methods and machine learning techniques to solve complex, ambiguous product and marketplace problems with meaningful buyer and revenue impact.
Design, execute, and interpret A/B tests and other causal measurement approaches to evaluate product changes and identify opportunities to improve the buyer experience.
Develop forward-looking analytical approaches, including predictive and experimental models, to better understand customer behavior and guide long-term product strategy.
Partner cross-functionally with senior stakeholders across Product, Engineering, and Business teams to translate complex findings into clear recommendations that improve buyer and seller outcomes at scale.
What you will bring:
7+ years of experience in analytics, data science, or a related quantitative field, ideally supporting product decisions in an e-commerce or consumer technology environment.
Strong hands-on proficiency in SQL and one or more analytical programming languages such as Python or R, with experience turning large-scale data into actionable insights.
Experience applying statistical methods, experimentation, and machine learning techniques to real business problems, including descriptive and inferential analysis and predictive modeling.
Familiarity with modern machine learning frameworks and approaches such as ensemble models, deep learning, or transformer-based methods; experience with site experimentation is a plus.
Demonstrated ability to connect insights to product growth opportunities, think critically in ambiguous environments, and influence decisions through data-driven recommendations.
Strong communication skills and a solid quantitative foundation, with a bachelor’s degree or equivalent experience in a field such as Computer Science, Mathematics, Economics, Physics, or Engineering; advanced study is a plus.
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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Educational Qualification
B.E/B.Tech, M.E/M.Tech, MCA, or relevant degree from a recognized university.
Application Fee
NIL (No fees for private jobs).
💡 Quick Interview Tips
- 📌 Research eBay's recent projects and company values before the interview.
- 📌 Prepare examples using the STAR method for behavioural questions.
- 📌 Review fundamentals related to the Manager, Data Science 1 role — especially domain-specific tools.
Selection Process
- Shortlisting
- Technical Assessment
- HR Interview
How to Apply
Click "Apply Now" below to visit the official career page of eBay.
🎯 Final Thoughts
This Manager, Data Science 1 role at eBay is a fantastic opportunity to grow your career with a leading organization. Make sure your resume is updated and highlights your relevant skills before applying. We wish you the very best for your application process. Don't wait—apply today!
Kishan Prajapati
Career Researcher & IT Industry Analyst. Helping freshers and professionals find verified private IT job opportunities in India.