eBay is a global commerce leader that allows you to influence how the world buys, sells, and gives. You’ll be part of a work culture that’s been genuinely committed to diversity and inclusion since its founding more than 20 years ago. Here, you can be yourself, do your best work, and have a meaningful impact on people across the globe. We seek people with drive, ideas, and a passion for helping small businesses succeed to help shape the future of eBay—does this sound like you? If so, we’d love to talk to you!
We are looking for an outstanding data engineer who wants to build scalable, business critical systems. Our trust science team uses data science and machine learning to:
Predict and prevent bad buyer and seller experiences
Detect and prevent frauds and scams to build a trusted marketplace
Assess marketplace trust and reliability
Block messages that could lead to fraud in real-time
You will work with a team of data scientists charged with improving eBay's trust science, with tremendous impact on eBay’s unique community of buyers and sellers.
Collaborate with researchers, engineers, and product teams to implement and support data pipelines that leverage eBay’s unique platforms and data sets.
Support machine learning and data science, whether it be towards prototypes or production applications. You’ll have an integral role in enabling the team to pursue insights and applied breakthroughs, while also driving the solutions to eBay scale.
Work with data scientists, engineers, and cross functional teams to productionalize data science solutions for current and future business needs, with high scalability, reliability and availability.
Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions.
Demonstrated proficiency to design and deploy high performance systems in a Hadoop environment with reliable monitoring and logging practices.
Experience supporting data scientists on ‘discovery-mode’ analyses and prototypes with analytic datasets.
Experience scaling, productionalizing, and optimizing data pipelines for production machine learning applications.
Practical and proactive awareness of typical needs of data scientists, while possessing the ability to inquire and establish data science requirements.
Strong organizational and communication skills, especially as relates to the documentation of data pipelines and code.
Benefits are an essential part of your total compensation for the work you do every day. Whether you’re single, in a growing family, or nearing retirement, eBay offers a variety of comprehensive and competitive benefit programs to meet your needs. Including maternal & paternal leave, paid sabbatical, and plans to help ensure your financial security today and in the years ahead because we know feeling financially secure during your working years and through retirement is important.
Here at eBay, we love creating opportunities for others by connecting people from widely diverse backgrounds, perspectives, and geographies. So, being diverse and inclusive isn’t just something we strive for, it is who we are, and part of what we do each and every single day. We want to ensure that as an employee, you feel eBay is a place where, no matter who you are, you feel safe, included, and that you have the opportunity to bring your unique self to work. To learn about eBay’s Diversity & Inclusion click here: https://www.ebayinc.com/our-company/diversity-inclusion/.
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 [email protected] 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