채용
Required Skills
Java
Machine learning
Data mining
Information retrieval
Database design
SQL
NoSQL
Hadoop
Data analysis
At e Bay, 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:Join the Payments Technology team at e Bay, which is at the forefront of transforming e-commerce payments. Our mission is to innovate and optimize payment experiences, providing diverse and efficient consumer choices for both buyers and sellers. As part of this rapidly evolving team, you will tackle new challenges and contribute to impactful projects that reinvigorate e Bay's payment landscape. We foster a collaborative culture that encourages work-life balance while pushing the boundaries of technology. You will be integral to building the next generation of payments at e Bay, excited by the scale and complexity of e-commerce payments systems. This role reports to engineering management, focusing on designing and implementing advanced payment solutions.
What you will accomplish:
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Drive the design and implementation of systems aligned with e Bay's existing payments infrastructure to enhance functionality and scalability.
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Collaborate across multiple teams including engineering, product management, and QA, to develop robust solutions that meet market needs.
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Lead significant feature developments independently and collaborate on delivering more complex changes with fellow team members.
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Innovate and propose technical improvements, presenting detailed business cases for enhancements or new opportunities.
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Rapidly deliver iterative value as part of a cross-functional Agile team, staying responsive to customer needs.
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Engage in continuous learning and growth through tackling complex technical challenges in payment technology.
What you will bring:
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Advanced degree (MS/PhD) in Computer Science or related fields, with a strong emphasis on machine learning, data mining, and information retrieval.
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Proficiency in Java and other software development languages (J2EE, Scala, R, Perl) with a focus on creating scalable solutions.
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Solid understanding of database schema design, performance tuning, and both SQL and NoSQL databases like MongoDB.
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Experience with large-scale data-driven systems and web data analysis technologies.
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Familiarity with Hadoop development and data-mining technologies such as classification and clustering algorithms.
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Commitment to a collaborative work environment and willingness to engage with distributed teams across varying locations.
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 talentebay.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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About eBay

eBay
PublicBuy, sell, and discover.
10,001+
Employees
San Jose
Headquarters
Reviews
3.8
5 reviews
Work Life Balance
4.2
Compensation
2.5
Culture
4.0
Career
2.8
Management
3.5
Pros
Good work-life balance
Great culture and environment
Nice colleagues and supportive people
Cons
Limited opportunities for growth
Old technology and systems
Call quotas and difficult customers
Salary Ranges
2,741 data points
Mid/L4
Mid/L4 · Business Analyst, ALDP
1 reports
$178,250
total / year
Base
$155,000
Stock
-
Bonus
-
$178,250
$178,250
Interview Experience
4 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 75%
Negative 25%
Interview Process
1
Application Review
2
Online Assessment (CodeSignal)
3
Technical Phone Screen
4
Technical Interview Rounds
5
Final Review
Common Questions
Coding/Algorithm
Technical Knowledge
Problem Solving
Data Structures
News & Buzz
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