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Hybrid role - with 3 days in office Bellevue, WA, Austin, TX, OR San Jose, CA

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

Primary Job Responsibilities

The data scientist will support the risk & compliance 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. Your tasks include but not limited to:

• 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, anti-money laundering, 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

Problem sets are focused around fraud and risk management to develop/train models to prevent fraudsters from listing, monetizing, and violating platform policies. 

Required Skills and Experience:

• Master’s degree or equivalent experience 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.

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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 [email protected]. 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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