The EPIC Science team is a key enabler for innovation at eBay and plays a critical role in eBay performance, reliability and improving buyer & seller experience. Our insights and experimentation capabilities are world class and we continue to enhance it to stay ahead of e-commerce trends.
The team is looking for a statistician/data scientist to work on complex data challenges in eBay Product R&D. The successful candidate will work on data mining, data analysis, machine learning, A/B testing, deriving actionable insight, and working with product teams to drive successful product development and innovation.
Build Machine Learning or statistical modeling techniques - analyze, extract key insights from model outputs, interpret statistical results, and communicate findings to the stakeholders (product owners)
Work with engineering counterparts to establish scalable, efficient, automated processes, and data pipelines for large scale data analyses, metrics monitoring, A/B testing, and related model development
Working with product teams to improve insights and measurement techniques to help guide teams through-out eBay with appropriate approach for monitoring performance and understanding user behavior.
Collaborate closely with customers, finance and other statisticians to scale algorithms and launch high- availability services
Job Requirements
MS degree or PhD (preferred) in Statistics, Economics, or equivalent is required for this position, 0-3 industrial work experience
Broad experience with various modeling algorithms, data mining tools, data analysis tools, and statistical packages
Expertise with applying predictive modeling techniques (model training, logistic regression etc), statistics and information retrieval methods to real-world data
Superior communications skills, both verbal and written
Attention to detail and data accuracy.
Extensive experience with large data sets and data manipulation.
Knowledge of SQL , R, Hadoop is preferred.
About eBay
eBay Inc. (NASDAQ: EBAY) is a global commerce leader including the Marketplace, StubHub and Classifieds platforms. Collectively, we connect millions of buyers and sellers around the world, empowering people and creating opportunity through Connected Commerce. Founded in 1995 in San Jose, Calif., eBay is one of the world’s largest and most vibrant marketplaces for discovering great value and unique selection.
APPLY TODAY!
• Ryan Williams will personally read your application.
• If there is a mutual interest, we will reach out to tell you all about the hiring company and answer your questions so you can determine if this is a position you’d like to pursue.
• To follow up on your status, please wait at least 48 business hours, and then email, rwilliams8@ebay.com.