Looking for a company that inspires passion, courage and imagination, where you can be part of 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 creating an ambitious and inclusive workplace, join eBay – a company you can be proud to be a part of.
About Our Team
Experimentation is a key enabler for innovation at eBay and plays a critical role in improving buyer & seller experience. Our experimentation capabilities are world class and we continue to enhance it to stay ahead of e-commerce trends.
The team is looking for aa analyst/data scientist experienced in product analytics and experimentation to help improve the quality and analytic practices of eBay experimentation. The successful candidate will have experience with data mining and analysis, A/B testing, deriving actionable insight, and working with product teams to drive successful product development and innovation.
Working with product teams to improve experimental design and measurement techniques to help guide teams through-out eBay with appropriate approach for A/B testing their products
With the aid of modeling techniques and statistical software - analyze, extract key insights from model outputs, interpret statistical results, and communicate findings to the stakeholders (product owners)
Establish scalable, efficient, automated processes, and data pipelines for large scale data analyses, A/B testing, and related model development
Collaborate closely with statisticians to scale algorithms and launch high- availability experimentation services
The role is data-intensive and hence the successful candidates should be extremely comfortable working with large sets of data and deliver business insights from the data using analytical techniques. The successful candidates should also be able to offer a strategic perspective, sound business judgment, and be able to work collaboratively / cross-functionally with multiple teams, located in different geographies. He/She will have a hands-on approach to data analysis, strong intellectual curiosity, and a passion for achieving practical business impact.
PhD,MS, or BSc. Degree in Statistics/Economics/Mathematics or a quantitative field www.eBaycareers.com
2-5+ years of relevant experience, preferably in business consulting, ecommerce, search, or financial services
Knowledge of statistical techniques including regression, experimental design, hypothesis testing
Hands on experience with SQL/Hive/Spark, data mining
Experience in web or social analytics is preferred
Hands on experience with statistical tools like: R, Python, Tableau
Experience presenting ideas and nurturing data driven decision-making with product leadership