At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.
Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.
About the Team and the Role:
Cloud Data Technologies (CDT) team at eBay is responsible for all the data infrastructure, including experimentation platform and management of end-to-end data lifecycle for all eBay data from onsite to analytics use cases.
We are seeking a Data Scientist who is passionate about driving business impact by utilizing advanced data science methodologies to improve the decision making speed & quality, and produce actionable insights from data.
Some of the projects that you have a chance to work on include: ML driven bot traffic detection, building customer profile, various A/B testing methodology improvements like Interleaving tests, sequential testing, bayesian methods.
What you will accomplish:
Lead complex data science projects and model development.
Conduct advanced SQL for big data query optimization.
Design and implement advanced statistical models and machine learning algorithms.
Collaborate with cross-functional teams to define and refine data solution requirements.
Stay updated on industry developments and suggest new technologies or methodologies.
What you will bring:
MS degree or PhD (preferred) in Statistics, Economics, Mathematics, or equivalent is required.
0-3 years industrial experience, preferably in software or system analytics, ecommerce, or financial services will be regarded favorably
Knowledge of statistical techniques including regression, time series analysis, hypothesis testing, combining disparate data sources.
Expertise with applying predictive modeling techniques, statistics and information retrieval methods to real-world data
Hands on experience with SQL/Hive/Spark, data mining and big data query optimization
Extensive experience with large data sets and data manipulation.
Knowledge of R, Python, Hadoop is preferred,
Excellent problem-solving skills and experience in deploying predictive models in production environments.
Superior communications skills, both verbal and written
Attention to detail and data accuracy.
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eBay 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 have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
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