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- Tasks: Use AI and analytics to optimise eBay's shipping experience and drive impactful solutions.
- Company: Join eBay, a global leader in ecommerce, transforming how the world shops.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Make a real difference in shipping logistics while working with cutting-edge technology.
- Qualifications: 8+ years in data science, strong analytical skills, and proficiency in SQL and Python.
- Other info: Collaborative environment with exciting challenges and career advancement opportunities.
The predicted salary is between 48000 - 72000 £ per year.
Join to apply for the Senior Data Science Analyst - Shipping role at eBay. 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.
About the Team & Role
The Shipping Analytics team drives eBay’s key shipping initiatives through data-driven insights and advanced analytics. We are a global, fast-paced team passionate about making shipping at eBay more reliable, accurate, affordable and seamless through the use of AI, innovation, and experimentation. We’re looking for a highly skilled and self‑driven individual contributor with a strong track record of analytical excellence, technical depth, and business impact. You’ll apply advanced analytics, AI, and data science techniques to build scalable data products, uncover insights, and influence strategic decisions across eBay’s shipping ecosystem.
In this role, you’ll harness data, experimentation, and AI to launch managed shipping solutions, optimize carrier routing, improve delivery performance, and increase seller adoption of eBay labels. You’ll translate complex logistics data into actionable strategies that enhance reliability, reduce cost, and grow label profitability — working closely with Product, Business, Finance, and Engineering teams to make shipping smarter, faster, and more efficient globally.
What You Will Accomplish
- Solve complex, real‑world business problems using AI and advanced analytics to optimize eBay’s domestic and cross-border shipping experience.
- Drive analytics to expand and scale eBay’s managed shipping and label platform globally, defining success metrics and measuring business impact.
- Build predictive models and carrier rate simulations to optimize cost, speed, reliability, and sustainability across global carrier networks.
- Analyze customer pain points to identify friction and propose data-informed product and business solutions that drive label adoption.
- Design and evaluate A/B experiments to guide smart decisions on product features, pricing, and policy.
- Develop AI-powered systems for real-time anomaly detection and operational performance monitoring.
- Build data pipelines and dashboards to democratize insights and accelerate decision-making across teams.
- Collaborate with Product, Engineering, and Finance partners to translate analytical findings into measurable business outcomes.
What You Will Bring
- Bachelor’s degree in Engineering, Computer Science, Economics, Statistics, Mathematics, or a related quantitative field (Master’s degree or MBA preferred).
- 8+ years of experience in data science, analytics, or a related quantitative role.
- Proven track record as a strong individual contributor, independently owning high-impact analytical initiatives end-to-end.
- Expertise in SQL, Excel, and data visualization tools; proficiency in Python or R preferred.
- Hands‑on experience in product analytics, experimentation (A/B testing), and causal inference.
- Demonstrated ability to apply data science and AI techniques to drive measurable business impact and solve optimization problems.
- Excellent communication skills with the ability to translate complex analytical insights into clear, actionable recommendations for diverse stakeholders.
- Working knowledge of modern AI tools such as Gemini, GPT, and large language models (LLMs) for data-driven automation and insights.
- Ability to thrive in a fast-paced, cross-functional, and collaborative environment.
Nice to have: Prior experience with global logistics, shipping operations, or carrier network performance data.
Some Interesting Questions We’re Trying to Answer
- How can we model friction across the seller label purchase funnel to identify behavioral and product-level barriers to adoption?
- How can large language models and AI-driven simulations recommend carriers that balance cost, reliability, and SLA compliance?
- Which seller cohorts show the highest incremental response to targeted interventions, and how can predictive systems personalize label adoption at scale?
- How do category, item value, and delivery speed influence buyer sensitivity to shipping costs across global markets?
- How can AI improve the accuracy of package weight and dimension predictions, and what is the downstream impact on cost estimation and carrier selection?
- What early signals can AI-based anomaly detection uncover in carrier network performance, and how can they be used to mitigate operational risks proactively?
Equal Employment Opportunity
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.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: Technology, Information and Internet
Manager, Data Science - Shipping in London employer: eBay
Contact Detail:
eBay Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manager, Data Science - Shipping in London
✨Tip Number 1
Network like a pro! Reach out to people in the shipping and data science fields on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to shipping or logistics. Use platforms like GitHub to share your code and analyses. This gives potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. Think about how you would apply AI and analytics to real-world shipping problems. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at eBay. Keep an eye on our careers page for the latest openings and updates!
We think you need these skills to ace Manager, Data Science - Shipping in London
Some tips for your application 🫡
Show Your Analytical Skills: When writing your application, make sure to highlight your analytical prowess. Use specific examples from your past experiences where you've solved complex problems using data science techniques. We want to see how you can bring that expertise to our shipping analytics team!
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the skills and experiences mentioned in the job description. We love seeing candidates who take the time to connect their background with what we’re looking for at eBay.
Be Clear and Concise: Keep your application clear and to the point. Avoid jargon unless it’s relevant, and make sure your key achievements stand out. We appreciate straightforward communication, especially when it comes to complex topics like data science!
Apply Through Our Website: Make sure to apply through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and ensure it gets to the right people. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at eBay
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in AI and analytics. Be ready to discuss your experience with SQL, Python, and any relevant tools like A/B testing frameworks. They’ll want to see how you’ve applied these skills to solve real-world problems.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific projects where you tackled complex business challenges using data. Think of examples that highlight your analytical excellence and the impact your work had on the business. Use metrics to quantify your success!
✨Understand eBay's Shipping Ecosystem
Familiarise yourself with eBay’s shipping initiatives and how they leverage data to improve customer experiences. Being able to discuss their current challenges and how you can contribute to optimising their shipping solutions will set you apart.
✨Communicate Clearly
Practice explaining complex analytical concepts in simple terms. You’ll need to convey your insights to diverse stakeholders, so being able to translate technical jargon into actionable recommendations is key. Consider doing mock interviews to refine this skill.
