Data ScientistZurich, Zurich Requisition Number R0017128 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.
Working in multi-disciplinary team to build machine learning and image recognition models for our marketing creative assets.
Perform analysis (exploratory, machine learning) and design experiments to enhance our understanding on our marketing creative assets. This role will also require building image classification models and extraction of relevant features (such as logos, products, etc.). We’re looking for someone with broad expertise in data science with responsibilities ranging from constructing data pipeline through building deep learning models and communicating end results and insights to the business.
Skills and Qualifications
The ideal candidate has minimum of 2-3 year industry experience in data science and some exposure to artificial intelligence (deep learning, in particular building image recognition / feature extraction models. The candidate should be able to work independently and be able build data pipeline which might require building own web scraper, working with external teams to develop API or query it from SQL, NoSQL database. Experience with cloud computing platform such AWS. He/she should be able to communicate results concisely to the business.
M.Sc. / PhD in computer science, statistics, engineering, mathematics, physics or related field
Prefered experience in deep learning in particularly image recognition ( classification, feature extraction) but not a must
Excellent understanding of machine learning algorithms both supervised, unsupervised. Familiarity with ML tool-kits such as scikit-learn, h2o, caret, tensorflow, keras
Good understanding of statistics, knowledge in experimental design is a plus
Scripting and programming: proficiency in Python, R, any other language is a plus.
Fluency with Unix/Linux
Working knowledge in query languages SQL and NoSQL (Mongo), familiarity with graph databases is plus
Familiarity with visualization tools (ggplot, matplotlib, D3, highcharts, ...)
Eager to explore new territories at the same time keeping focus on delivering quick prototype.
- Fluency in english
View our accessibility infoR0017128
eBay Inc. is an equal opportunity employer, dedicated to workforce diversity. All qualified applicants will receive consideration for employment without regard to their protected veteran status and will not be discriminated against on the basis of disability or long term unemployment circumstances. 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.