Description
Looking for a company that inspires passion, courage and creativity, where you can be on the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to crafting an ambitious and inclusive work environment, join eBay – a company you can be proud to be with.
Want to help shape the future of global commerce? Improve as a data scientist? Work on interesting projects with high business impact? Join the eBay Shipping Science team.
Here are some of the problems we are working on:
- Using machine learning to determine item delivery dates, shipping recommendations, package weight and dimensions
- Improving how fast delivery impacts product search and seller conversions
- Applying machine learning globally to improve shipping speed and quality of service.
We are passionate about building amazing platforms that support the growth of eBay's market share, and we are looking for top-notch data scientists who want to build scalable, business critical systems.
Responsibilities
• You will be directly responsible for improving eBay's shipping science.
• Design and implement end to end solutions using machine learning and AI, improving efficiency and user experience for buyers and sellers.
• Conduct experiments and evaluate the performance of the models, investigate false positive/false negatives and implement continuous improvements to retail standards.
• Collaborate with other researchers, engineers, and product teams to develop strategic and tactical enhancements to our shipping and trust platforms.
• Communicate your methodology and results to a community of researchers, developers, analysts, and product managers working on a number of related technologies.
• Work with data scientists, engineers, and cross functional teams to produce end-to-end production-ready solutions.
• Maintain responsibility for quality, performance, scalability, and reliability.
• Estimate effort, build research and development plans, and prioritize work according to the needs of the business.
• Provide technical leadership and mentoring to other team members.
Experience
• 5+ years of experience in successfully solving real world problems using machine learning algorithms.
• Strong mathematical, statistical, and scientific modeling skills.
• Experience in predictive analytics, statistical modeling and coding.
• Proficiency in PySpark, SQL, and handling large datasets.
• Proficiency in Python.
• Experience with Hadoop, Spark, and related technologies.
• Strong interpersonal skills and an appreciation of diversity in teamwork