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- Tasks: Lead a team and tackle shipping challenges using advanced analytics and AI.
- Company: Join a global ecommerce leader in the heart of Westminster.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Shape the future of global shipping solutions with a passionate team.
- Qualifications: 8+ years of experience, strong SQL skills, and a degree in a quantitative field.
- Other info: Be part of an innovative team driving change in logistics.
The predicted salary is between 43200 - 72000 £ per year.
A global ecommerce leader is seeking a hands-on analytics leader in the City of Westminster. This role involves leading a small team while contributing individually, utilizing advanced analytics and AI to solve shipping and logistics challenges.
Key responsibilities include:
- Defining success metrics
- Optimizing carrier selection
- Developing data pipelines
Candidates should have 8+ years of experience, strong expertise in SQL, and a Bachelor's degree in a quantitative field. Join a passionate team to shape the future of global shipping solutions.
Data Science Lead — Global Shipping & Logistics in Westminster employer: eBay Inc.
Contact Detail:
eBay Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Lead — Global Shipping & Logistics in Westminster
✨Tip Number 1
Network like a pro! Reach out to folks in the shipping and logistics industry on LinkedIn. A friendly chat can open doors and give you insights that might just land you that Data Science Lead role.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your past projects, especially those involving advanced analytics and AI. When you get the chance to chat with potential employers, let your work speak for itself.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by brushing up on SQL and data pipeline development. We recommend doing mock interviews with friends or using online platforms to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing passionate candidates who are eager to shape the future of global shipping solutions.
We think you need these skills to ace Data Science Lead — Global Shipping & Logistics in Westminster
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 8+ years of experience in data science. We want to see how you've tackled challenges in shipping and logistics before, so don’t hold back on those success stories!
Get Technical: Since SQL expertise is a must-have, be sure to mention specific projects where you’ve used SQL to drive results. We love seeing how you’ve optimised processes or developed data pipelines in your previous roles.
Define Your Metrics: In your application, talk about how you’ve defined success metrics in past projects. This shows us that you understand the importance of measuring outcomes and can contribute to our analytics goals.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensures you’re considered for this exciting opportunity with our passionate team!
How to prepare for a job interview at eBay Inc.
✨Know Your Analytics Inside Out
Make sure you brush up on your advanced analytics and AI knowledge. Be prepared to discuss specific projects where you've used these skills to tackle shipping and logistics challenges. This will show that you can not only lead a team but also contribute effectively on an individual level.
✨Master SQL Like a Pro
Since strong expertise in SQL is a must-have, practice writing complex queries and optimising data retrieval. During the interview, be ready to demonstrate your SQL skills through practical examples or even live coding if asked. This will highlight your technical prowess and problem-solving abilities.
✨Define Success Metrics Clearly
Think about how you would define success metrics for various projects in shipping and logistics. Prepare to share your thoughts on what key performance indicators (KPIs) you would focus on and why. This shows that you understand the importance of measuring success in a data-driven environment.
✨Show Your Leadership Style
As a Data Science Lead, you'll need to inspire and guide your team. Reflect on your leadership experiences and be ready to discuss how you foster collaboration and innovation within your team. Sharing specific examples of how you've led teams to success will resonate well with the interviewers.
