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TITLE

 

Data Science Tech Lead Manager - Routing

COMPANY

 

Uber

LOCATION

 

San Francisco, CA, US

Description

We’re changing the way people think about transportation. Not that long ago we were just an app to request premium black cars in a few metropolitan areas. Now we’re a part of the logistical fabric of more than 600 cities around the world. Whether it’s a ride, a sandwich, or a package, we use technology to give people what they want, when they want it.

 

For the people who drive with Uber, our app represents a flexible new way to earn money. For cities, we help strengthen local economies, improve access to transportation, and make streets safer.

 

And that’s just what we’re doing today. We’re thinking about the future, too. With teams working on new modalities, self-driving cars and even urban air transportation, we’re in for the long haul. We’re reimagining how people and things move from one place to the next.

 

About the Role

 

You'll be the data science technical lead or manager for the team, working closely with software engineering and product managers to create and execute the direction of the product development. This includes crafting machine learning, optimization, statistical, or data science solutions to achieve business goals, guiding the team's direction through data-driven insights and algorithmic thinking, and providing team members with feedback on their work. The role can also include full management responsibilities, such as growing the team, if you have management experience.

 

The team currently has ~6 data scientists supporting various subareas within Routing, and we're looking to grow to 10+ over the next year. You are expected to lead several subareas within Routing and ~5 data scientists.



What You'll Do

 

  • Work closely with leads from engineering and product to develop technical vision and drive the team direction.
  • Develop creative solutions and build prototypes to business problems using advanced mathematical algorithms such as machine learning and optimization.
  • Provide technical and professional guidance, mentorship, and people management for data scientists.
  • Communicate with senior management and cross-functional teams.
  • Propose and guide framework of data analysis to drive business insight and facilitate decisions.

What You'll Need

 

  • M.S. or Ph.D. degree in Statistics, Machine Learning, Operations Research, or otherquantitative disciplines. Alternatively, a BS with 5 or more years of experience in relevant fields.
  • Managerial or tech lead experience of a team in data science/analytics.
  • Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, and analytics.
  • Experience in experimental design (such as A/B experiments) and analysis.
  • Experience in algorithm development and prototyping.
  • Coding proficiency and ability to develop statistical analysis and algorithm prototyping in Python or R.  Proficiency in Java is a plus.
  • Proficiency in SQL.

 

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