Manager, Data Science - Analytics 2 San Jose

At eBay, were 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. Were 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 The Focus Categories Decision Sciences team at eBay is seeking an experienced Data Scientist to support our Global Collectibles Product unit. This role is centered on advancing product discovery, measurement, testing, and predictive modeling to enhance targeting capabilities, as well as conducting custom analytics to uncover actionable insights that drive success for our business partners. You’ll help motivate change and improve decision-making through data-driven analyses, deep business understanding, rigorous truth-seeking, and impactful insights. In this highly visible and cross-functional role, you’ll collaborate with Collectibles product and business leaders, as well as teams across the company, to evaluate existing programs, develop new analytical solutions, and identify innovative growth opportunities. You’ll be surrounded by a diverse, intellectually curious, and fast-moving team of professionals passionate about making an impact at scale. What you’ll accomplish • Partner with product, business, and analytics stakeholders to understand key initiatives and deliver insights that influence strategic decisions. • Lead the development and implementation of predictive models and advanced analytics to improve targeting and measurement across the Collectibles domain. • Design and execute experiments and tests to measure business impact and identify new opportunities for growth. • Communicate analytical results clearly, translating complex data findings into actionable recommendations for senior leadership. • Serve as a trusted data expert, integrating diverse data sources to uncover trends and patterns that inform business strategy. • Contribute to a culture of data excellence and continuous learning within the Decision Sciences team. What you’ll bring • Exceptional business judgment and strong quantitative problem-solving skills. • Proven experience distilling complex analytical findings into clear, action-oriented insights. • Strong communication and storytelling abilities across executive and cross-functional audiences. • Expertise in building and deploying machine learning models and driving their adoption within business workflows. • Proficiency in SQL and either Python or R; strong understanding of data warehouse architecture. • Solid grounding in both descriptive and inferential statistics. • Experience with data visualization tools such as Tableau. • Practical experience in applying modern AI/ML techniques to solve complex business problems, particularly in e-commerce product discovery or personalization. • Demonstrated ability to transition ML models from research/prototype to production-ready systems, including proficiency with cloud-based ML platforms. • Ability to manage multiple projects and stakeholders in a dynamic environment. • BS/BA in Statistics, Applied Econometrics, Mathematics, Physics, Computer Science, or a related field; advanced degree preferred. • 10+ years of relevant professional experience, or 8+ years with a Master’s degree. A genuine passion for eBay’s mission and our vibrant marketplace. Benefits: 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 a diverse set of 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: The base pay range for this position is expected in the range below: $165,600 - $221,100 Base 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 [email protected]. We will make every effort to respond to your request for accommodation as soon as possible. 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