Data Scientist, Algorithms, Pricing, Rider Engagement

What you'll do

• Frame business problems mathematically within the context of the marketplace.
• Write production code to implement algorithms in live systems.
• Develop and deploy production-grade statistical, machine learning, or optimization models.
• Design, implement, and analyze experiments to facilitate data-driven decision making.
• Establish metrics and measurement methodologies to monitor product health and marketplace outcomes.
• Perform deep dive analyses to uncover new product and business opportunities.
• Communicate technical findings to broad audiences including Product, Engineering, and executive leadership.

What we're looking for

• M.S. or Ph.D. in Machine Learning, Operations Research, Statistics, Computer Science, or other quantitative fields.
• 1-4+ years of professional experience in a Data Science role in a technology company for PhD holders.
• 3-5+ years of professional experience in a Data Science role in a technology company for Master’s degree holders.
• Proven experience building and evaluating optimization or machine learning models.
• Proficiency with Python and experience working in a production coding environment.
• End-to-end experience with data, including querying, aggregation, analysis, and visualization.
• Strong verbal and written communication skills to collaborate and communicate with cross-functional teams.
• Passion for solving unstructured and non-standard mathematical problems.