Data Scientist in Customer Science

Key Skills

Apache Hadoop, Apache Hive, Big Data Technology, C Programming, C++, Deep Learning, Java Programming, Keras software library, Python Programming, R Programming, Scala Programming, SPARK Programming, SQL

Job Description

Looking for a company that inspires passion, courage and creativity, where you can be on 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 work environment, join eBay – a company you can be proud to be with.

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 recommendation systems? Does working with Big Data, Analytics and Machine Learning Methods excite you? If you answered yes, the Customer 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, as we are developing state-of-the-art personalization strategies. You will work on cutting-edge ML algorithms and analytics against one of the biggest datasets in the world. You will roll your solutions to production, analyze results offline and online, and measure site impact. Bring your ideas, energy, and dedication to the team and solve challenging real-world problems!

Responsibilities

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 recommendation systems. Design and implement end-to-end solutions using Big-Data Analytics, Statistics and Machine Learning and other AI methods to drive customer traffic to eBay. We are a highly collaborative diverse team of Scientists and Engineers, open to new ideas and dedicated to driving real measurable impact, while working with state-of-the art AI methods on very big Datasets. We offer a hybrid model of work, based on onsite- and remote-work combination, depending on the candidate’s preference.

Qualifications

• MS or PhD in computer science, engineering, or related field.
• 2+ years of practical industry experience in building & deploying ML predictive models.
• Strong programming skills in one or more of the following programming languages: Scala, C/C++, Python.
• Some mathematical background in statistics/ML is required.
• Previous experience with ML using at least one of the ML tools and its libraries (in e.g. R/Python/Keras) is required.
• Expertise with Big Data Platforms is a strong plus e.g., Hadoop / Spark / Hive.
• Some expertise in specialized areas such as Recommendation Systems, Deep Learning and Reinforcement Learning is a plus.
• Good communication skills, team-player.

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: 

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 . We will make every effort to respond to your request for disability assistance as soon as possible. Jobs posted with location as Remote - United States (Excludes CO, HI, NM) excludes Colorado, Hawaii and New Mexico.