At e Bay, 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 the role:

e Bay’s Global Shipping Decision Sciences team shapes how buyers and sellers experience shipping on one of the world’s largest e-commerce platforms. We mine some of the richest datasets in commerce and apply advanced analytics and data science to unlock insights that improve delivery speed, reliability, and transparency.

As a Data Scientist on this team, you will be both a functional leader and an individual contributor, working across data science, product, and business analytics to influence the shipping product roadmap and business strategy. You will partner closely with product managers, business leaders, engineering, and finance to identify opportunities for growth and efficiency across the global shipping ecosystem, all within a collaborative, inclusive environment where diverse perspectives are valued.

What you will accomplish:

• Break down complex shipping and customer experience challenges into structured analytical problems, using hands-on data science and analytics to generate insights that directly inform product and business decisions.

• Develop and iterate on analytical frameworks, dashboards, and prototype models that reveal trends and opportunities in e Bay’s shipping ecosystem, helping teams prioritize high-impact initiatives.

• Partner with product, business, engineering, and finance stakeholders to design and evaluate shipping initiatives, ensuring that key decisions are grounded in data and aligned with e Bay’s strategic goals.

• Identify opportunities for growth, cost savings, and operational efficiency across the global shipping network, translating findings into clear, actionable recommendations.

• Communicate insights, trade-offs, and recommendations in a compelling way to partners across functions and regions, enabling shared understanding and faster decision-making.

• Contribute thought leadership to the Global Shipping Decision Sciences team, sharing best practices, mentoring peers informally, and helping to build a culture of experimentation and continuous learning.

What you will bring:

• Bachelor’s degree or higher in Statistics, Mathematics, Computer Science, Data Science, Business Administration, Business Analytics, or a related field; a master’s degree is a plus.

• Proficiency in analytics and data science tools such as SQL, R, Python, and visualization tools like Tableau, with experience working directly with large, complex datasets.

• Strong grounding in descriptive and inferential statistics, including the ability to build basic prototype models to explore hypotheses and guide product or business decisions.

• Experience working as a product or business analyst, or in a similar role, applying a data science mindset to solve problems at scale; familiarity with product analytics and online experimentation (A/B testing) is a plus.

• Domain experience in shipping, supply chain, logistics, or a related area is a plus, with the ability to quickly understand operational constraints and opportunities.

• A genuine interest in e Bay’s marketplace, a collaborative working style, and the ability to work across time zones and functions to drive impactful outcomes for buyers and sellers.

Additional Details

The base pay range for this position is expected in the range below:

$85,600 - $151,100

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.

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. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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