名企职位速递-eBay Data Scientist
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Data Scientist
San Jose, California
Job Description
We are looking to hire an analytic & insights Data Scientist to partner with the eBay core product team. As a critical member of the Product Insights team, this role will have the rare opportunity to influence decision-making of the Buyer experience roadmap with their insights and thought leadership.
With a vision to find opportunities to drive transformative change in the customer experience and result in significant business growth, we mine the largest datasets in the world of e-Commerce and use best-in-class analytic and big data techniques to extract impactful insights. We achieve this by partnering closely with the product and engineering teams, and find opportunities that are accretive to the product roadmaps.
Basic Qualifications
To be successful in this role:
- Require the minimum of a bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, Business Administration or Business Analytics. Master or PhD degree is a plus.
- Require the minimum of 3yr experiences in the area of data science or analytics.
- You would have to strike a balance between critical thinking and actual hands-on analyses using tools & packages such as SQL, R, Python, Tableau etc.
- You possess super strong technical skills to turn big data in Teradata and Hadoop into actionable insights. At the same time, you also have the ability to think about the big picture and connect the dots to evaluate how the insights impact eBay’s ecosystem.
- In addition to delivering insights on existing Product & Tech initiatives, you will come up with creative product growth opportunities based on insights, and build momentum through influence.
- Enthusiastic collaboration and effective communication are important
Additionally, the following background and experience is preferred:
- Consistent track record of turning insights into product growth opportunities in prior roles with growing scope and responsibilities
- Ability to present complex analyses and insights effectively in simple terms
- Good experience with both descriptive and inferential statistics – ability to build basic prototype models
- Experience in a leading technology company
- Background in internet product experience
- Experience with site experimentation (A/B testing) is a plus
面
试
Build a model to identify customers interested in receiving ad emails.
Machine Learning questions like boosting, bagging and stacking and so on.
Build a model to identify customers interested in receiving ad emails.
Machine Learning questions like boosting, bagging and stacking and so on.
Suggest a modeling process for a binary classification task with skewed and unbalanced data
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