eBay - Data Science - Analytics Intern, application via RippleMatch

This role is with eBay. eBay uses RippleMatch to find top talent.

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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.

***Please submit only ONE application for eBay. Duplicate applications from the same candidate will result in all applications for that candidate being automatically declined. ***

• If your application is moved forward in the process, then you will be asked to complete a Codesignal Data Analysis Assessment as the next step in the selection process.
  
  

Prior to submitting your Assessment/Codesignal report, please ensure that the email address you are using to apply through RippleMatch is the SAME EMAIL ADDRESS that is attached to your pre-existing Codesignal account. Given the volume of applications that eBay is currently reviewing, we will be unable to re-send/re-direct the Codesignal link to a different email address. As such, if your RippleMatch profile email address is different from the email address within your pre-existing CodeSignal account, you will need to retake the assessment utilizing your other email address.

Again, eBay will not be able to re-direct/re-send a new Codesignal link to a different email address after you have submitted an application. Thank you.***

About The Role

Data Science - Intern

We are looking for motivated Data science enthusiasts to build robust and scalable software and draw insights from massive data sets. We want the highest levels of technical talent and programming skills, as well as a keen desire to deeply understand our products and services to push our technology forward. You’ll work alongside the best and the brightest engineering talent in the industry.

Note: By applying to this position, your application will be considered for locations: San Jose, CA

What You Will Bring

• Insightful. Be able to draw Insights and conclusions from large Datasets, and help drive business decisions with data-driven thinking
• Inventive. Have the ability to do a lot with a little. Aggregate information from various places and establish relationships with key partners to get the data you need.
• Tech Savvy. Master your tools, and continue to expand your systems knowledge through formal or informal research and training.
  
  

We Need

• Strong analytical/Data science skills to dive into data and identify root causes
• Able to build Models (analytics & machine learning) to segment users on the platform
• Able to apply statistical, machine learning & deep learning techniques to build solutions to solve complex trust problems
• SQL expertise. Proficiency in SQL and Python is required. R, Java, and/or C are a bonus
• NoSQL Tools. Have familiarity with at least one NoSQL tool; Hadoop, Hive, Spark, Pig, H2O, etc.
  
  

Basic Qualifications

• Currently enrolled as a full-time student, have 0-3 years of relevant work experience in an accredited Bachelors, Masters, or PhD program within the United States graduating December 2025 - Summer 2026
• Enrolled in or pursuing a Bachelor's or Master’s in Data Science, Computer Science, Statistics or related major
• The ability to strike a balance between critical thinking and actual hands-on analyses using tools such as SQL, Python, Tableau.
• Strong technical skills to turn big data into measurable insights. At the same time, you also have the ability to think about the big picture and connect the dots to evaluate how the insights impact eBay’s ecosystem.
• In addition to delivering insights on existing Product & Tech initiatives, you will come up with innovative product growth opportunities based on insights, and create momentum through influence.
• Proactive collaboration and effective communication are critical
• Ability to present complex analyses and insights effectively in simple terms
• Good experience with both descriptive and inferential statistics – ability to build basic prototype models
• Experience with site experimentation (A/B testing) is a plus
• Creative thinker who knows how to build real-world products
• Curate, Acquire & Maintain Datasets
• Build and handle data in traditional and non-traditional ways.
• Share engineering support, release & on call.
• Estimate, plan & rollout changes
• Key skills: SQL, Java, Python, NoSQL tool ie: Hadoop, Pig, Spark, H2O etc.
  
  

The pay range for this position at commencement of employment in California, Washington, or New York City is expected in the range below.

$3,760 - $4,240 Bi-weekly (Every two weeks).

Pay offered may vary depending on multiple individualized factors, including Location, Education level, Skills, and Experience.

eBay Inc. 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.

eBay Inc. 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 are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talent@ebay.com. We will make every effort to respond to your request for disability assistance as soon as possible.

For more information see: EEO is the Law Poster and EEO is the Law Poster Supplement

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