eBay Lead Data Scientist in Amsterdam, Netherlands
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.
eBay Classifieds Group (eCG) is an innovative leader in online classifieds, with 12 brands that offer services in more than 1000 cities around the world. In eight of our markets we are the number one mobile app. With hundreds of millions unique visitors per month delivering billions of page views, our sites help people find whatever they’re looking for in their local communities – whether it’s a job, an apartment, a car, a concert ticket, financial services or new friends. Our central product and tech organization services all our markets by providing key capabilities & services which are demonstrated by all of our sites. We are an equal opportunity employer and value diversity at our environment.
What you can expect from us:
A harmonious, informal, international and playful work environment
Work with cool modern technologies, processes and consumer facing products
Access to tools and resources to do your job
Ability to join multiple internal interest groups in eBay in trending topics like Data Science, Mobile Development, Customer Experience and more
Continuous Deployment of product changes to get rapid feedback about your work
Being part of the eBay family, a company with a history and great potential
Now we are looking foran experienced Data Scientistwith proven track-records in translating data to business value to join the world’s leading online classifieds business.
Given the pace the industry is moving we are constantly rethinking adapting our approach to using data to deliver compelling user experiences leveraging recent advancements in technology.
You will be lead data scientist with our central data team, working with highly skilled engineers and scientists to help deliver our strategy around leveraging Big Data and advanced Data Science techniques to transform our business across the globe.
Statistical models are what you have for breakfast, large-scale machine learning for lunch and business problems you solve for dinner.
Apply machine learning and advanced statistics on a global scale to design and implement models and algorithms that solve real-world business problems like customer segmentation, channel attribution, marketing performance and yield optimization
Work closely together with global tech and product teams to develop new ideas, test them and measure success.
Translate complex and sometimes ambiguous data and insights into concise and actionable recommendations.
Advanced degree in Computer Science, Math, Statistics or similar field .
5+ years of professional experience in data science or an adjacent field with an established track record of making things that work
Proactive, curious and self-motivated
As a Data Scientist working in a business setting, you have a pragmatic approach and know when it is worth to give 100% and when 20% is sufficient
Fluency in English and great communication skills and ability to concisely and to-the-point deliver recommendations & proposals
Expert in data mining and advanced modeling techniques including predictive modeling using R and/or Python
Expert SQL skills (e.g. Teradata, MySQL or HIVE)
Extensive experience with Hadoop, Hive, Spark and similar tools
View accessibility info here at https://www.ebayinc.com/accessibility/
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.