Applied Researcher

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.

Location

• Bellevue, CA OR Austin TX

Looking for a company that inspires passion, courage and creativity, where you can be on the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you're interested in joining a purpose driven community that is dedicated to crafting an ambitious and inclusive work environment, join eBay - a company you can be proud to be with.

Who We Are

At eBay, you will be part of a purpose driven community dedicated to creating a bold and versatile work environment. In eBay Risk, you will be an integral member of a growing organization that inspires passion, courage and inventiveness - creating the future of global commerce and making an important, positive impact on millions of eBay sellers and shoppers around the world.

If you are looking for a special place to take your career to the next level, we want to talk with you!

Data Science is at the core of eBay - and we are hiring curious, driven, and courageous experts to transform our business unit to empower eBay's next generation risk strategy. Our focus is to ensure the integrity of our marketplace for buyers and sellers who transact with us every single day. The scope of our charter includes Risk Management Strategy, Policy, Risk Science, and Policy Operations.

We are looking for a highly talented and self-motivated data scientist to join our Risk Science team. Risk Science contains both data scientists and software engineers responsible for creating and implementing state of the art machine learning algorithms for fraud detection and risk assessment in support of Risk Management. The primary responsibility of this role is to assist in algorithm development inside of a high throughput, low latency, big data environment.

Who You Are

Are you an experienced Data Scientist looking to ensure the integrity of marketplaces for buyers and sellers? If so, apply here!

The data scientist will support the risk department, leveraging big data technologies to aggregate and structure data, perform statistical analysis, and build algorithmic solutions to reduce fraud, monitor our buyers and sellers, and intermediate payments to improve the overall eBay experience.

As a member of the decision science team, you will research and develop new methodologies and techniques to improve the overall effectiveness of risk management.

The Impact You Will Make Here

• Mine and analyze massive amounts of unique internal and external data to gain deep business knowledge and insight on customer activity and usage behaviors and their relationships with fraud, credit risks, and other types of behaviors.

• Act as the technical owner of projects that may require significant customization of existing analytic tools, techniques, processes or development of new ones

• Perform statistical data analysis and understanding, ensure data quality, and develop tracking and reporting systems to determine the effectiveness of models, rules, and other risk initiatives and programs

• Design and create systems to structure, aggregate, and turn petabytes of messy information into statistically significant features for modeling purposes

• Work with Business Unit Partners and Policy Makers to scope and formulate real-world problems into highly scalable and repeatable solutions

• Partner with Data Engineering team to deploy the models to the Production environment

What You Bring to the Team

• Master's degree in a quantitative field: computer science, math, statistics etc

• Two years of working experience in Deep Learning (NLP, CV specific) deployed in High volume, low latency, user facing applications

• Experience Big Data technology: Hadoop framework: Hive, Spark, etc

• Expertise in machine learning packages: Python, R etc

• Strong knowledge of 1 or more scripting and programming languages (Python, Java, Scala, etc.)

• Background in a variety modeling techniques: GBM, logistic regression, clustering, NLP

• Strong analytical skills with good problem solving ability

• Good presentation and communication skills required

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

$114,800 - $176,550

Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employees will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

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 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.

Jobs posted with location as "Remote

• United States (Excludes: HI, NM)" excludes residents of Hawaii and New Mexico.

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