Data Scientist 1

Location:

Bellevue, Washington
Requisition Number:
R0044940

Looking for a company that inspires passion, courage and creativity, 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 crafting an ambitious and inclusive workplace, join eBay – a company you can be proud to be a part of.

  • The Global Customer Science Team is reinventing advertising at eBay! We’re building innovative ad-tech solutions to optimize the ad monetization and experience on eBay. Our goal is to build a valuable experience for both buyers and sellers, while also driving performance for advertisers. To that end, we are innovating rapidly in the ad-tech space and there is no shortage of new challenges for motivated individuals. As a frontend engineer, you will work closely with designers, product managers and other specialists (frontend, backend, machine learning, quality) to redefine the advertising space for eBay and beyond.

  • Looking to make an impact on the future of global commerce? Do you want to craft how millions of people buy, sell, and engage around the world? We need strong engineers to join us and build the next generation of eBay Customer Science products. If you enjoy the scale and technical complexity of search and want to work closely with researchers yet drive the highest standards on system efficiency and quality, join now. Help us redefine Customer Science at eBay.

  • We are looking for hardworking engineers who have a real passion for building and shipping outstanding software especially with open source products and leading and supplying to results-oriented projects around Hadoop, Spark and related products. You will be responsible for developing features and frameworks with the focus on scenarios over Hadoop, Spark, and Databases. eBay has one of the largest Hadoop Deployments in the world with over 18500+ nodes and 500+ Petabytes of configured storage. Desirable backgrounds would include significant Java development with technical experience on Big Data stack, with passion for innovating in and around Big Data ecosystems.

  • Responsibilities:

  • MS or Ph.D. in Computer Science or closely related field.

  • Excellent understanding of computer science fundamentals, data structures, and algorithms.

  • Strong analytical and research skills proven through publications in reputed conferences/journals or supporting demonstration of innovation.

  • Familiarity with predictive models/search/recommendation/classification applications and domains will be advantageous.

  • Familiarity with traditional machine learning and deep learning will be a plus

  • 4+ years Python/Java/C++/R experience.

  • Excellent problem solving skills.

  • Provide technical expertise in statistical analysis, data mining, machine learning, NLP, and information retrieval

  • Experience in Hadoop, GPUs, Hive, Hbase will be a plus.

  • Basic Qualifications:

  • Strong experience with Java or Python is Required.

  • Good knowledge of machine learning and data mining techniques is Required

  • Experience in big data processing and analysis, e.g. Hadoop, SQL, Spark, Pyspark is required

  • MS or PhD in Computer Science, Statistics, Mathematics, or equivalent

  • Encouraged experience:

  • PhD - at least 2 years of industrial/professional experience (Not counting Internships or Co-Ops) working in a production environment in a related field .

  • M.S. – at least 4-5 years of industrial/professional experience (Not counting Internships or Co-Ops) working in a production environment in a related field.

  • Experience with one or more of the following: classification, regression, recommendation systems, targeting systems, ranking systems, fraud detection, online advertising, or related is a plus

  • Experience with site experimentation (A/B testing) is helpful

  • Hardworking collaboration and effective communication are significant.

  • Proven Professional background in Software Engineering with a focus on Object Oriented, Back End Development is a plus

Benefits are an essential part of your total compensation for the work you do every day. Whether you’re single, in a growing family, or nearing retirement, eBay offers a variety of comprehensive and competitive benefit programs to meet your needs. Including maternal & paternal leave, paid sabbatical, and plans to help ensure your financial security today and in the years ahead because we know feeling financially secure during your working years and through retirement is important.

Here at eBay, we love creating opportunities for others by connecting people from widely diverse backgrounds, perspectives, and geographies. So, being diverse and inclusive isn’t just something we strive for, it is who we are, and part of what we do each and every single day. We want to ensure that as an employee, you feel eBay is a place where, no matter who you are, you feel safe, included, and that you have the opportunity to bring your unique self to work. To learn about eBay’s Diversity & Inclusion click here: https://www.ebayinc.com/company/diversity-inclusion/

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 talent@ebay.com.  We will make every effort to respond to your request for disability assistance as soon as possible.

For more information see:  EEO is the Law Poster and EEO is the Law Poster Supplement

This website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies

View our privacy policy and accessibility info

Data Scientist 1

Bellevue, Washington Requisition Number R0044940 Subsidiary eBay

Looking for a company that inspires passion, courage and creativity, 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 crafting an ambitious and inclusive workplace, join eBay – a company you can be proud to be a part of.

  • The Global Customer Science Team is reinventing advertising at eBay! We’re building innovative ad-tech solutions to optimize the ad monetization and experience on eBay. Our goal is to build a valuable experience for both buyers and sellers, while also driving performance for advertisers. To that end, we are innovating rapidly in the ad-tech space and there is no shortage of new challenges for motivated individuals. As a frontend engineer, you will work closely with designers, product managers and other specialists (frontend, backend, machine learning, quality) to redefine the advertising space for eBay and beyond.

  • Looking to make an impact on the future of global commerce? Do you want to craft how millions of people buy, sell, and engage around the world? We need strong engineers to join us and build the next generation of eBay Customer Science products. If you enjoy the scale and technical complexity of search and want to work closely with researchers yet drive the highest standards on system efficiency and quality, join now. Help us redefine Customer Science at eBay.

  • We are looking for hardworking engineers who have a real passion for building and shipping outstanding software especially with open source products and leading and supplying to results-oriented projects around Hadoop, Spark and related products. You will be responsible for developing features and frameworks with the focus on scenarios over Hadoop, Spark, and Databases. eBay has one of the largest Hadoop Deployments in the world with over 18500+ nodes and 500+ Petabytes of configured storage. Desirable backgrounds would include significant Java development with technical experience on Big Data stack, with passion for innovating in and around Big Data ecosystems.

  • Responsibilities:

  • MS or Ph.D. in Computer Science or closely related field.

  • Excellent understanding of computer science fundamentals, data structures, and algorithms.

  • Strong analytical and research skills proven through publications in reputed conferences/journals or supporting demonstration of innovation.

  • Familiarity with predictive models/search/recommendation/classification applications and domains will be advantageous.

  • Familiarity with traditional machine learning and deep learning will be a plus

  • 4+ years Python/Java/C++/R experience.

  • Excellent problem solving skills.

  • Provide technical expertise in statistical analysis, data mining, machine learning, NLP, and information retrieval

  • Experience in Hadoop, GPUs, Hive, Hbase will be a plus.

  • Basic Qualifications:

  • Strong experience with Java or Python is Required.

  • Good knowledge of machine learning and data mining techniques is Required

  • Experience in big data processing and analysis, e.g. Hadoop, SQL, Spark, Pyspark is required

  • MS or PhD in Computer Science, Statistics, Mathematics, or equivalent

  • Encouraged experience:

  • PhD - at least 2 years of industrial/professional experience (Not counting Internships or Co-Ops) working in a production environment in a related field .

  • M.S. – at least 4-5 years of industrial/professional experience (Not counting Internships or Co-Ops) working in a production environment in a related field.

  • Experience with one or more of the following: classification, regression, recommendation systems, targeting systems, ranking systems, fraud detection, online advertising, or related is a plus

  • Experience with site experimentation (A/B testing) is helpful

  • Hardworking collaboration and effective communication are significant.

  • Proven Professional background in Software Engineering with a focus on Object Oriented, Back End Development is a plus

Benefits are an essential part of your total compensation for the work you do every day. Whether you’re single, in a growing family, or nearing retirement, eBay offers a variety of comprehensive and competitive benefit programs to meet your needs. Including maternal & paternal leave, paid sabbatical, and plans to help ensure your financial security today and in the years ahead because we know feeling financially secure during your working years and through retirement is important.

Here at eBay, we love creating opportunities for others by connecting people from widely diverse backgrounds, perspectives, and geographies. So, being diverse and inclusive isn’t just something we strive for, it is who we are, and part of what we do each and every single day. We want to ensure that as an employee, you feel eBay is a place where, no matter who you are, you feel safe, included, and that you have the opportunity to bring your unique self to work. To learn about eBay’s Diversity & Inclusion click here: https://www.ebayinc.com/company/diversity-inclusion/

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 talent@ebay.com.  We will make every effort to respond to your request for disability assistance as soon as possible.

For more information see:  EEO is the Law Poster and EEO is the Law Poster Supplement

This website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies

View our privacy policy and accessibility info