eBay
Data Scientist
Bellevue, WA (Hybrid)
Team Overview
The Shipping Science team develops the underlying models that drive delivery estimates and packaging optimizations for eBay globally. Join a full-stack team that takes ownership not only of developing robust models, but owning the pipeline and managing the technology stack that allows eBay to scale our inference engine at web-scale. We collaborate with other researchers, engineers, and product teams to develop improvements to our shipping platforms that drive efficiency and a better user experience for buyers and sellers. While our close work with product and engineering drives our results-oriented culture, learning and experimentation are keys to ensuring we develop the best solutions possible.
Job Responsibilities
- Seek scientifically valid solutions that deliver real value to eBay customers
- Build machine learning models and data pipelines to deliver insightful yet practical solutions across web-scale data.
- Work with multiple teams to help promote standard scientific methodologies and processes in your field
- Present key technical and novel research work in public forums and conferences
Basic Qualifications
- 5 years of industrial experience with one or more of the following: classification, regression, NLP, GBM, unsupervised learning, transit time estimation, Deep-Learning, GNN.
- Experience in big data processing, e.g., Hadoop, SQL, Spark/PySpark
- Experience with Python, Java, or Scala, and PyTorch.
- Demonstrated experience developing and deploying large scale ML models.