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, transforming how the world shops.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Make a tangible impact on international shipping solutions and drive innovation.
- Qualifications: 5+ years in data science, strong analytical skills, and proficiency in Python and SQL.
- Other info: Collaborative environment with a focus on creativity and diverse perspectives.
The predicted salary is between 48000 - 72000 £ per year.
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'll 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.
- Analyze customer problems and suggest 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.
- Develop pricing experiments to determine the right pricing for international shipping to optimize conversion and profitability.
- Investigate accuracy of duties and taxes estimations and identify systematic fixes; address issues from HS code classification to improve conversion and profitability.
- Analyze how growing Cross-border listings supply drives incremental business and whether it substitutes domestic inventory.
- Understand how customers discover cross-border items and optimize the buyer funnel to improve conversion.
- Identify innovative ways to reduce total cost for customers and drive higher volumes (e.g., enabling sellers to drop off packages at our hub to reduce leg 1 shipping cost).
Qualifications
- A Bachelor's degree in a quantitative field; a Master's is a bonus (Data Science, Engineering, Computer Science, Statistics, Mathematics).
- 5+ years of experience in data science or analytics.
- Proficiency 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.
- Excellent communication skills; ability to explain sophisticated data concepts to non-technical audiences.
- Familiarity with AI tools like Gemini, GPT, and LLMs for automation.
- You thrive in a fast-paced environment and enjoy working with cross-functional teams.
- Bonus: knowledge of global logistics, shipping operations, or carrier network data.
Company and Inclusion
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.
Senior Data Science Analyst - Shipping in City of Westminster employer: eBay Inc.
Contact Detail:
eBay Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Science Analyst - Shipping in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to folks in the shipping and data science space on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational chats. 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 projects, especially those related to shipping analytics or AI. This is your chance to demonstrate how you can solve real-world problems and make an impact at eBay.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python, SQL, and A/B testing. Practice explaining complex concepts in simple terms—this will help you connect with non-technical interviewers.
✨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 the eBay team and contributing to our mission of transforming ecommerce.
We think you need these skills to ace Senior Data Science Analyst - Shipping in City of Westminster
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 apply your skills to real-world scenarios!
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the key responsibilities and qualifications mentioned in the job description. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to explain your experiences and achievements. Remember, we appreciate good communication skills, so make it easy for us to understand your journey and impact.
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 shows us that you’re genuinely interested in joining our team at eBay!
How to prepare for a job interview at eBay Inc.
✨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 applied advanced analytics or AI techniques, as this will show your technical depth and problem-solving abilities.
✨Understand eBay's Shipping Ecosystem
Familiarise yourself with eBay's shipping initiatives and how they leverage data to improve customer experience. Think about how you can contribute to cross-border shipping solutions and be prepared to share ideas on optimising shipping speed, cost, and profitability during the interview.
✨Prepare for A/B Testing Questions
Since product analytics and A/B testing are key parts of the role, be ready to explain your experience with designing and analysing tests. Have examples ready that demonstrate how your insights led to successful business decisions, and be clear about how you measure success.
✨Show Your Collaborative Spirit
This role involves working closely with Product, Engineering, and Finance teams, so highlight your teamwork skills. Share examples of how you've successfully partnered with cross-functional teams in the past, and emphasise your ability to communicate complex data concepts to non-technical audiences.