Data ScientistSan Francisco, California Requisition Number R0022409-1 Subsidiary eBay
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.
Growth Hacking, an experimentation, is a key enabler for innovation at eBay. It plays a critical role in improving comprehensive buying and selling experience. C2C selling team is looking for a data scientist who is innovative and experienced in statistics to help improve in completing the “selling” cycle. Quality experimentation is the key to get complete success. The successful candidate will have experience with a wide range of statistical techniques and be comfortable with both frequentist and Bayesian inference approaches. We have loads of data to enhance the conversion to stay ahead of e-commerce trends.
Work also involves building production facing user components which heavily rely on data mining and machine learning. The candidate is expected to be able to communicate with technical and non-technical audiences including leadership, quality engineering, software engineering and product as well as program management.
Establish scalable, efficient, automated processes, and data pipelines for large scale data analyses, A/B testing, and related model development.
Conduct research on statistical techniques, evaluating applicability to complete sell cycle.
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)
Collaborate closely with others in the larger team 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 with multiple teams possibly located in different geographies.
This team member will have a hands-on approach to data analysis, strong intellectual curiosity, and a passion for achieving practical business impact.
Qualifications / Skill Set:
PhD/MS Degree in Statistics/Economics/Mathematics or a quantitative field
Knowledge of statistical techniques including regression, heavy-tailed distributions, extreme values, bootstrapping / jack-knife, factor analysis, heterogeneous treatment effects, post-stratification, experimental design, frequentist and Bayesian hypothesis testing, and instrumental variables.
2-5+ years of relevant experience, preferably in business consulting, ecommerce or financial services
Hands-on experience with SQL/Hive/Spark, data mining, Druid, NumPy, SciPy, Panadas, H2O, prediction.io
Hands-on experience with statistical tools like: Python, Java, Scala, R
Experience in web or social analytics is preferred
View our accessibility info
eBay Inc. 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 are unable to submit an application because of incompatible assistive technology or a disability, please contact us at firstname.lastname@example.org. We will make every effort to respond to your request for disability assistance as soon as possible.
For more information see: