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.

Are you ready to take your career to the next level? At e Bay, you will join a passionate community dedicated to crafting a bold and versatile work environment. We are looking for ambitious and hardworking individuals to join our Risk Science team in Austin as an Applied Researcher I. Here, you will play a crucial role in crafting the future of global commerce and making a significant, positive impact on millions of e Bay sellers and shoppers worldwide.

Primary Job Responsibilities

• Support the risk department by bringing to bear big data technologies to aggregate and structure data.
• Conduct statistical analysis and develop algorithmic solutions to minimize fraud and oversee our buyers and sellers.
• Research and develop new methodologies and techniques to improve risk management.
• Act as the technical owner of projects, customizing analytic tools, techniques, and processes.
• Develop tracking and reporting systems to determine the efficiency of models and risk initiatives.
• Build and develop systems to transform petabytes of data into statistically significant features for modeling.
• Collaborate with Business Unit Partners and Policy Makers to build scalable and repeatable solutions.
• Partner with the Data Engineering team to deploy models to the Production environment.

Required Skills and Experience

• Master’s degree in a quantitative field such as computer science, math, or statistics.
• Experience working with Big Data tools such as Hadoop, Hive, and Spark.
• Expertise in machine learning packages like Python and R.
• Strong programming skills in languages such as Python, Java, or Scala.
• Background in various modeling techniques, including GBM, logistic regression, clustering, deep learning, etc.
• Excellent analytical skills with a proven problem-solving ability.
• Strong presentation and communication skills.

If you are driven by curiosity and a passion for data science, we want to hear from you. Join us and help build the next generation of e Bay's risk strategy. Your work will be integral to ensuring the integrity of our marketplace for millions of buyers and sellers every day!

Additional Details

The base pay range for this position is expected in the range below:

$98,000 - $173,600

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.

e Bay 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 e Bay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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