Sr Scientist, Tech - Science

About the role

You’ll turn massive amounts of unstructured data into focused plans of execution, navigating ambiguity to build technologies that directly influence every decision made in our marketplace. This isn't just about building models; it’s about making smart decisions with imperfect information and owning the outcomes in an environment where speed and scale can't be separated.

What you'll do

• Develop data-driven business insights by collaborating across disciplines: product, engineering
• Build and scale statistical, optimization, and machine learning models that provide both strategic insights and real-time production enhancements to global products
• Design and analyze complex experiments using A/B testing and causal inference to provide results that drive critical decision-making
• Unblock technical barriers by driving the creation of logging, metrics, and diagnostic tools that orient teams around data-driven product development
• Define how teams measure success by developing robust metrics in close partnership with cross-functional stakeholders to align on long-term impact

What you need

• 7–13 yrs of experience
• Machine learning
• Python
• Statistics
• Spark
• R
• Java
• B.Sc or PhD

Good to have

• Hadoop
• Hive
• Ruby
• Scala
• Perl