Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Use advanced analytics and AI to solve real-world shipping challenges at eBay.
- Company: Join eBay, a global leader in ecommerce, shaping the future of shopping.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Make a tangible impact on cross-border shipping solutions and drive innovation.
- Qualifications: Bachelor's degree in a quantitative field and 5+ years in data science or analytics.
- Other info: Collaborative team environment with exciting challenges and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
At eBay, we are more than a global ecommerce leader where we are 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 are 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 are 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 & 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 are looking for a collaborative and analytical problem-solver with strong business insight and technical depth. You will apply advanced analytics, AI, and data science techniques to build scalable data products, uncover insights, and shape strategic decisions across eBay's shipping ecosystem. In this role, your goal is to help eBay roll out and develop cross-border shipping solutions across multiple markets. You will act as a key partner to Product, Business, and Finance teams in helping get these solutions off the ground and scaling them fully. This role gives you ownership of the program and you will be responsible to build the company strategy and decision-making using data, insights, and experimentation.
What You Will Do
- Solving ambitious, real-world business problems using advanced analytics and AI for cross-border shipping.
- Driving the analytics to launch and grow new global shipping solutions; you'll define how we measure success.
- Building optimization models to balance shipping speed, cost and profitability.
- Analyzing customer problems and suggesting product and business solutions that can address these to drive adoption and grow International Shipping solutions.
- Designing and analyzing A/B tests to help make smart decisions on product, pricing, and policy.
- Creating AI-powered systems to spot performance issues in real-time (anomaly detection).
- Building data pipelines and dashboards so everyone can easily get the insights they need.
- Partnering with Product, Engineering, and Finance teams to turn your data findings into actual business wins.
What You Will Bring
- A Bachelor's degree in a quantitative field like Data Science, Engineering, Computer Science, Statistics, Mathematics - a Master's is a bonus!
- 5 years or more of experience in data science or analytics.
- You are proficient with Python, SQL, Excel, and data visualization tools like Tableau.
- Proven track record as a strong individual contributor, independently owning high-impact analytical initiatives end-to-end.
- Solid experience in product analytics, especially developing and measuring A/B tests.
- A proven history of using data science to build models, solve optimization problems, and get real results.
- Great communication skills; you can explain sophisticated data concepts simply to non-technical people.
- Familiarity with AI tools like Gemini, GPT, and LLMs for automation.
- You can handle a fast-paced environment and love working with different teams.
- Bonus points if you know a thing or two about global logistics, shipping operations, or carrier network data!
Some exciting problems we are working on
- What should be the right pricing for our international shipping services to optimize conversion and profitability? Running controlled experiments around price sensitivity to answer this.
- Our duties and tax estimations are not always accurate; what are some of the key reasons for inaccuracy and how can we systematically fix them? Overcharging duty rates due to wrong HS code classification affects conversion, undercharging affects profitability.
- How does growing listings supply for Cross border drive incremental business? How does it substitute domestic inventory if at all?
- How do customers discover cross border items and what does the buyer funnel look like? Where do customers drop off often and what can we do to improve conversion?
- Innovative ways to reduce total cost for our customers and drive more volumes. Example: Allowing sellers to drop off packages at our hub instead of shipping, thereby eliminating leg 1 shipping cost.
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status.
Senior Data Science Analyst - Shipping in London employer: Arlington Administrative Assistance
Contact Detail:
Arlington Administrative Assistance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Science Analyst - Shipping in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at eBay. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for interviews by diving deep into eBay's shipping initiatives. Show us how your skills in data science can tackle real-world problems they face. Tailor your examples to their needs!
✨Tip Number 3
Practice your communication skills! You’ll need to explain complex data concepts simply. We want to see how you can make your insights accessible to everyone, not just the techies.
✨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 serious about joining the eBay team.
We think you need these skills to ace Senior Data Science Analyst - Shipping in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Data Science Analyst role. Highlight your experience with data science, analytics, and any relevant projects that showcase your skills in Python, SQL, and AI tools. We want to see how you can bring your unique expertise to our team!
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—demonstrate how you've used them to solve real-world problems. Share specific examples of how you've tackled challenges in data analytics or shipping solutions. This will help us see your analytical mindset in action!
Communicate Clearly: Remember, we value great communication skills! When writing your application, aim to explain complex data concepts in a straightforward way. This shows us that you can bridge the gap between technical and non-technical teams, which is crucial for this role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it gives you a chance to explore more about our company culture and values while you're at it!
How to prepare for a job interview at Arlington Administrative Assistance
✨Know Your Data Science Stuff
Make sure you brush up on your data science skills, especially in Python, SQL, and data visualisation tools like Tableau. Be ready to discuss specific projects where you've used these skills to solve real-world problems, particularly in shipping or logistics.
✨Showcase Your Analytical Mindset
Prepare to talk about how you've approached complex analytical challenges in the past. Think about examples where you've built optimisation models or conducted A/B tests, and be ready to explain your thought process clearly and simply.
✨Communicate Like a Pro
Since you'll need to work with non-technical teams, practice explaining your data findings in layman's terms. Use examples from your experience to demonstrate how you've successfully communicated complex ideas to diverse audiences.
✨Be Ready for Real-World Scenarios
Expect to tackle hypothetical scenarios related to cross-border shipping during the interview. Think about pricing strategies, customer behaviour analysis, and how to improve conversion rates. Show them you're not just a number cruncher but a problem solver who can think strategically.
