Staff Applied Scientist

What you'll do

• Develop mathematical models and launch algorithms for pricing and ETA decisions.
• Build and productionalize ML and optimization pipelines that scale to millions of calls daily.
• Write production-quality code and build custom tools beyond off-the-shelf libraries.
• Perform data analysis and build proof-of-concepts to explore new machine learning solutions.
• Evaluate machine learning systems against business goals to ensure robustness in live environments.
• Establish metrics and measurement methodologies to monitor product health and marketplace impact.
• Translate complex, real-world business problems into reliable decision frameworks and systems.

What we're looking for

• M.S. or Ph.D. in Machine Learning, Operations Research, Statistics, Computer Science, or another quantitative field.
• 2+ years of algorithms experience in a technology company setting.
• Proficiency with Python and experience working in a production coding environment.
• Strong understanding of machine learning methodologies and proven experience building and evaluating optimization models.
• Ability to write production-quality code and build custom methods beyond off-the-shelf libraries.
• Experience performing data analysis and building proof-of-concepts for ML and Optimization solutions.
• Strong verbal and written communication skills with a track record of cross-functional collaboration.
• Ability to translate complex, non-standard mathematical problems into reliable systems and decision frameworks.