Java Programming, Analytical and Problem solving, Management, Python Programming, SQL, Agile methodologies, Data science techniques, R Programming, Statistics, Mathematics, Data Analysis
Uber has taken a strategic bet on partnering with third-party micromobility providers to offer riders more transportation options on our platform. As Data Science/Analyst Lead for Uber's Micromobility team, you'll lead a team to help define Uber's strategy for bikes & scooters and launch new product experiences to shape the urban transportation space.
You'll work with design, engineering, product, and business teams to first determine how third-party micromobility partners will integrate with Uber. As you understand your customer base, you'll develop and launch differentiated experiences in cities all over the world that allow riders to discover, book, and ride micrombility options seamlessly through the Uber app.
This team will host entrepreneurial attitude which will focus on rapid experimentation of ideas to expand the product portfolio for Uber. This team is working to bring customer-centric micromobility experience to our riders, at par with the Uber experience that they have come to expect. We are looking for a high performing Data Scientist/Analyst to make significant contributions to our mission. A deep analytical passion to learn and ability to execute on key business priorities is a must.
As Data Scientist/Analyst for the team, you will play the very meaningful role of helping define the product vision and deliver it from ground-up by working with a very fast paced and passionate team of high-performing Product Analysts, Data Scientists, Engineers, Designers, Product managers, and Ops Managers. People with entrepreneurial bent of mind, independent analytical thinking, rapid hypotheses building, testing hypotheses using experimentations, and aid the team make informed decision and deliver high business impact are desired characteristics for this role!
What You'll Do
You will shape the direction of Uber's products by using data-driven insights to identify opportunities and prioritize of product and engineering initiatives. You will:
What You'll Need
At Uber, we reimagine the way the world moves for the better. The idea was born on a snowy night in Paris in 2008, and ever since then, our DNA of reimagination and reinvention carries on. We've grown into a global platform moving people and things in ever-expanding ways, taking on big problems to help drivers, riders, delivery partners, and eaters make movement happen at the push of a button for everyone, everywhere.
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.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
Uber, is an American mobility as a service provider based in San Francisco, with operations in over 900 metropolitan areas worldwide. Its services include ride-hailing, food delivery (Uber Eats and Postmates), package delivery, couriers, freight transportation, electric bicycle and motorized scooter rental via a partnership with Lime, and ferry transport in partnership with local operators. Uber does not own any vehicles.