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Manager - Developer Platform Data Science

Data Science, Engineering in San Francisco, CA

At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.

 

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.

Are you ready to challenge yourself to an opportunity to impact millions of users across all of Uber Apps (rider/driver-partner/eats) and measure yourself against the top line revenue impact?

 

“Our mobile apps are as reliable as running water” is our team’s mission and we accomplish this by driving mobile app health via engineering metrics while remaining truly customer obsessed. We are the go-to team that brings visibility to metrics and provides fast actionable feedback to engineers, PMs, and operations across 400+ cities by focusing end-to-end on prevention, detection, mitigation, and resolution.

 

We work with a multitude of signals (for example: crashes, network performance, app performance, battery etc) and scale of data points throughout the release cycle and in production. Our success will be determined by creating scalable platforms and experiences across multiple dimensions: SDKs, monitoring, alerting, ticketing, reporting, data visualization, etc.

 

You will get a rare opportunity to work within our consumer space across all of Uber Apps and drive internal-facing tools. Are you in?

 

What You'll Be Doing:

 

  • Internalize and deeply understand Uber’s mission and strategies, and align the mission and objectives of your specific team to factor into the company strategy.

 

    • Lead a small team of 3-4 highly skilled data scientists/data analysts

    • Work with Product Manager and Engineering Manager to come up with data science roadmap and implementation plan.

    • Participate actively in shaping the platform vision through data and insights.

 

  • Be incredibly truth-seeking. Collect whatever data is necessary to inform product direction, whether in the form of competitive intel, rider behaviour or other business metrics. Solicit and embrace critical feedback.

 

    • Mentor team member on analytics and modeling techniques and guide the team to apply correct statistical methods.

 

  • Run statistical analysis to find what factors are important to drive mobile app health in emerging countries

 

  • Deal with massive mobile event data store and build important analytical models which help the Product team to determine what nature of devices and networks should be promoted in emerging countries.

Qualifications:

 

  • An MS or PhD is a quantitative field such as Mathematics, Statistics, Economics, Operations Research or related.

 

  • Minimum 2 years of managing teams in various capacities

  • Proficient in SQL, Python or R.

  • Experience with working with Product and Engineering leadership and define strategy and vision

  • An extensive experience of defining KPI to measure business performance

  • Strong background in Statistics and Machine Learning.

  • Ability to be a technical mentor to the team and provide leadership

  • Experiment design and measurement experience is a plus

  • Strong communication skills

See our Candidate Privacy Statement

At Uber we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Uber is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.