Do you want to have a huge impact on the largest eCommerce website? Are you interested in solving cutting edge research problems while impacting all eBay advertising channels? Does working with Big Data, cloud computing, large-scale optimization, probabilistic inference, and machine learning excite you? If you answered yes, the Marketing Science team at eBay is the right place for you. We are looking for rockstar Data Scientists to join our team.
You will be directly responsible for improving eBay's algorithms that drive customer traffic via external marketing channels. You will work on cutting-edge ML/optimization algorithms against one of the biggest datasets in the world. You'll work with world-class data scientists and engineers. You'll solve problems that have a direct impact on a multi-billion dollar business. Bring your ideas, energy, and dedication to reach and engage the next 100M eBay users.
We are developing state-of-the-art bidding and optimization strategies that have a direct impact on eBay's users as well as the company's bottom line. You will be expected to research state-of-the-art machine learning, optimization, natural language processing, text mining, and other techniques, and apply them to eBay's marketing platforms. You will roll your solutions to production, analyze results offline and online, and measure site impact.
Aggregate huge amount of data and information from large numbers of sources to discover patterns and features necessary to build machine learning models that match eBay's inventory with customers' demand via Marketing channels. Design and implement end-to-end solutions using Machine Learning, Optimization, and other advanced computer science technologies, and own live deployments to drive customer traffic to eBay.
+ PhD or MS in computer science, engineering, mathematics/statistics or related field and 2-3 years or work experience as an ML engineer/data scientist
+ Excellent understanding of computer science fundamentals, data structures, and algorithms. Strong programming skills (one or more of Python, Java, Scala, etc.).
+ Expertise in specialized areas such as Optimization, NLP, Reinforcement Learning, Probabilistic Inference, Machine Learning, Information Retrieval, Recommendation Systems.
+ Proven experience with large data sets and related technologies, e.g., Hadoop and Spark. Knowledge of SQL and NoSQL is required.
+ Expert level experience in at least one of the ML learning software (tensor flow, sklearn, etc.) is required.
+ Good communication skills, ability to work with large cross-functional teams of technical and non-technical members.
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_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_ ...@ebay.com_ _. We will make every effort to respond to your request for disability assistance as soon as possible._
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_EEO is the Law Poster_
_EEO is the Law Poster Supplement_ Associated topics: backend, c#, devops, matlab, perl, php, programming, sde, software developer, software programmer
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.