Applied Researcher I

eBay • Austin, TX

1d

About The Position

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. Are you ready to take your career to the next level? At eBay, 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 eBay sellers and shoppers worldwide.

Requirements

• 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.

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.

Benefits

• 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)

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees