Data Scientist, Hard goods

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 Role:eBay’s Focus Category Data Science & Analytics team is looking for an experienced Data Scientist to deliver analytics, strategic insights, and thought leadership for the Hardgoods category. The role is for an experienced senior individual contributor to drive initiative success by developing product health metrics, running A/B tests to enhance features, building monitoring tools for Hardgoods product health, and creating custom analytics for insights to improve features.With a passion for driving transformative changes to the customer experience and in delivering business outcomes, we mine the largest datasets in the world of e-Commerce and use analytics and data science techniques to extract impactful insights. We achieve this by partnering closely with the product, business and engineering teams, and find opportunities that are accretive to the product roadmaps.The successful candidate will find him/herself surrounded by sharp professionals with a diverse set of backgrounds, operating in a fast-paced, intellectual, and team-oriented environment. This highly impactful role offers the unique opportunity to develop/showcase hybrid skills and partner with leaders across the organization.What you will accomplish:Join a high-performing team of data scientists to drive product excellence for the Hardgoods category and thrive in a cross-functional environment while working with different analytics/business/product collaborators.Build close partnership with product managers, business owners and engineering team across the Hardgoods category organization to Identify and explore opportunities for impactful analytics to help craft the product roadmap.Improve and build technical skills to turn big data in Teradata and Hadoop into actionable insights and ability to think about the big picture and connect the dots to evaluate how the insights impact eBay’s ecosystem.Collaborate with product managers to create metrics for initiatives, run A/B tests to improve features, and build tools to monitor the health of Hardgoods product features.To be successful in this role you would:Have 6+ years of experience and the minimum of a bachelor’s or higher degree in Statistics, Mathematics, Computer Science, Data Science, Business Administration or Business Analytics.Intellectual curiosity, passion for problem-solving, and comfort with ambiguity. Strike a balance between critical thinking and hands-on analytics and data science  (SQL, R, Python, Tableau etc.)Functional leadership skills and a product/business analyst while having a data science mentality to problem solving at scale.Enthusiastically and optimally communicate with partners across the organization and regions.Experience in designing and measuring randomized control experimentsFinally, but crucially: A passion for eBay, either existing or nascent. We are an outstanding company and are looking for people who get excited by our captivating marketplace & amazing business opportunities.The pay range for this position at commencement of employment in California, Washington, or New York is expected in the range below.$135,200 - $205,700Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.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.Jobs posted with location as "Remote - United States (Excludes: HI, NM)" excludes residents of Hawaii and New Mexico.This website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.Job SummaryJob number: R0064991Date posted : 2024-10-30Profession: Data ScienceEmployment type: Full time