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Staff Scientist, Delivery Logistics
About The Role
The Delivery Logistics team builds real-world technology that powers our global marketplace. Our team of scientists works on diverse problems, including building real-time backend matching systems, creating new delightful user experiences, and serving predictions used for decision making across the marketplace.
In this role, you will use your quantitative skills to generate insights, develop new models, design metrics and run experiments. Uber operates in a constantly-evolving and competitive environment, and our success requires deep understanding of our marketplace and the ability to build products that scale on a global footprint. You will work on high visibility, high impact projects which have significant impact on Uber’s P+L.
What You Will Do
• Work with a cross-functional team to build cutting-edge marketplace products.
• Deploy analysis techniques such as causal inference and funnel analysis to identify our largest business opportunities.
• Work alongside engineers to design and implement production solutions.
• Design and analyze product experiments, and communicate findings and conclusions with stakeholders.
• Lead a team of 4-5 scientists in designing new algorithms in order to optimize our real-time matching system.
—- Basic Qualifications —-
• PhD., M.S. or Bachelors degree in Operations Research, Statistics, Economics, Machine Learning, or other quantitative fields.
• Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.
• Knowledge of experimental design and analysis.
• Experience with exploratory data analysis, statistical analysis and testing, and model development.
• Ability to use Python to work efficiently at scale with large data sets.
• Proficiency in SQL.
—- Preferred Qualifications —-
• 6+ years of industry experience.
• Minimum 3 years of management or tech lead experience.
• Experience in algorithm development and prototyping.
• Experience designing reinforcement learning or other advanced ML algorithms.
• Experience performing causal inference and other advanced econometric and statistical techniques.
• Experience productionizing algorithms for real-time systems.
• Well-honed communication and presentation skills.
For New York, NY-based roles: The base salary range for this role is USD$203,000 per year – USD$225,500 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$203,000 per year – USD$225,500 per year. For Seattle, WA-based roles: The base salary range for this role is USD$203,000 per year – USD$225,500 per year. For all US locations, you will be eligible to participate in Uber’s bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.
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