Data Science & Strategy Manager, Uber Eats, Argentina & Uruguay
City Operations, Operations & Launch in Buenos Aires, Argentina
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.
About the Role
The Data Science Operations Manager role helps solve the most challenging problems related to Uber's ambitious and rapidly expanding on-demand delivery business: Uber Eats. These fascinating problems include personalized search and recommendation for restaurants and dishes, travel and food preparation time prediction, text mining and natural language processing, demand and supply forecasting, growth and spend optimization, dynamic pricing, dispatch and routing optimization, and many more. To solve these problems, data scientists leverage unique data sources diverse in both geographical and temporal dimensions and in both structured (data from app sessions, trips, etc.) and unstructured (menu descriptions, food photos, support contacts, etc.) forms.
We are looking for people with advanced quantitative degrees who are comfortable enough with research methodologies that they can address abstract business and product problems with extreme precision, and who have the enthusiasm and initiative necessary to deliver those answers at Uber's fast pace. You should also have demonstrable programming skills and be comfortable with engineering development process.
What You’ll Do
Support teams to solve complex and ambiguous problems, often requiring a data-driven approach to gather insights and frame trade-offs (business, financial, policy, legal, etc.) to support decision-making
Develop & Optimize Processes - Scale new and existing processes to allow the business to efficiently operate and realize growth; analyze the business to track and improve metrics and profitability
Analytics - Analysis of driver, restaurant, and customer metrics to properly allocate supply, guide incentive programs, and ensure high-quality experiences on the Uber system
Strategy - Choose which projects the team should prioritize, and set a timeline to reach goals quickly
Product Improvement - Proactively search for new features which could improve a seamless driver, customer, and restaurant experience
Be fast, resourceful, and take initiative. Take ownership of Uber Eats growth in your city and do everything you can to support and enhance the quality of our services
What You’ll Need
A minimum of 2 years industry experience, and prior research, data science modeling, or engineering experience in the aforementioned domains but we will consider candidates with less experience if they meet our other requirements
Master's or PhD degree focused on AI & Machine Learning, Analytics, Statistics, Operations Research, Economics, or similar.
Superb quantitative background
Familiarity with technical tools for analysis - Python (with Pandas, etc.), R, SQL, etc.
Research mindset with bias towards action - able to structure a project from idea to experimentation to prototype to implementation
Passionate and attentive self-starters, great communicators, amazing follow-through - you have a great work ethic and love the responsibility of being held accountable for the results
Professional proficiency in English & Spanish
Bonus Points If
Previous software engineering background a plus
About the Team
As part of the Uber Eats Team, you’ll work closely with the General Manager and the Operations, Account Management and Marketing teams to implement strategies, processes and innovate for Uber Eats South Cone..
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.