LatAm Data Scientist II, BizOps

About the Role

The LatAm Data Science team works at the intersection of Operations, Economics, Experimentation, and Business Strategy. Our mission is to help Uber make better decisions, improve the efficiency of our operations, and build the analytical foundations that support scalable growth across the region.

The team partners with local and regional stakeholders to solve complex business problems through rigorous analysis, experimentation, causal inference, modeling, and automation. Our work spans decision support, measurement frameworks, forecasting, and analytical tools that help teams operate more effectively at scale. This role is ideal for someone who enjoys working across functions, turning ambiguous business questions into structured problems, and driving impact through data.

As a Data Scientist, you will help shape the direction of the LatAm DS portfolio while working closely with Operations and other cross-functional partners on high-priority business challenges. You will lead analytical work end-to-end and help ensure it translates into durable business impact.

What You Will Do

Drive Decision Making

• Design and evaluate business interventions using experimentation, quasi-experimentation, and causal inference.
• Build clear analytical frameworks and measurement approaches that improve decision quality.
• Partner with cross-functional teams to solve strategic business problems with data.
• Translate ambiguous business questions into structured, actionable analyses and recommendations.

Scale Through Data and Automation

• Identify opportunities to simplify or automate recurring analytical or operational processes.
• Support the development of scalable tools, dashboards, monitoring systems, and decision-support solutions.
• Help ensure analytical products are practical, maintainable, and adopted by stakeholders.

Build and Apply Quantitative Models

• Use statistical, econometric, machine learning, and optimization methods to understand business dynamics.
• Analyze the impact of changes in pricing, incentives, operations, and other business levers.
• Develop frameworks that help teams allocate resources more effectively and improve operational performance.

Lead Through Influence

• Work closely with senior stakeholders to shape priorities and drive alignment.
• Communicate insights clearly to both technical and non-technical audiences.
• Raise the bar for analytical rigor, business thinking, and execution quality across the team.

Basic Qualifications

• Bachelor’s degree in a quantitative field such as Statistics, Economics, Mathematics, Computer Science, Engineering, or Operations Research.
• 6+ years of experience in Data Science, Analytics, Economics, Business Operations, Applied Research, or a related quantitative role.
• Strong SQL and Python skills.
• Experience working with large datasets and solving business problems through data.
• Strong communication and problem-solving skills.
• Ability to work independently in ambiguous and fast-changing environments.

Preferred Qualifications

• Master’s degree in a quantitative or relevant field.
• Experience with experimentation, causal inference, econometrics, forecasting, machine learning, or optimization.
• Experience leading cross-functional projects or influencing senior stakeholders.
• Experience building scalable analytical products, automation frameworks, or decision-support tools.
• Experience mentoring others or leading analytical workstreams.
• Background in technology, marketplaces, mobility, delivery, fintech, or other complex operating environments.
• Strong track record of translating advanced quantitative methods into business impact.