Data Scientist, Global Strategy & Planning

About The Role

Join our dynamic Global Strategy & Planning team at Uber Eats and become a key player in shaping our global strategy and fostering flawless collaboration across all functions and markets.

We're on a mission to find opportunities for enhanced alignment and execution, and your expertise will be instrumental in driving this vision forward.

As a Data Scientist, you'll find yourself at the exciting crossroads of data and strategy within our Competition Analytics & Insights vertical.

Here, we're dedicated to not only staying at the forefront of competitive intelligence but also setting the standard on a global scale.

In this role, you'll work closely with a highly skilled and motivated team, with the primary goal of harnessing the power of competitive data to elevate Uber Eats to new heights.

If you're passionate about data, strategy, and making a significant impact, this is the opportunity you've been waiting for.

What You'll Do

• Support leadership and regional teams with building models to validate competition trends
• Translate ambiguous questions, drive analysis and synthesis findings into clear recommendations for regional teams. Ensure we take recommendations to execution. We don't just stop at strategy
• Build, Innovate and Maintain the competition data infrastructure worldwide and ease access to data for the teams. Develop end-to-end data pipelines for models, dashboards and other projects
• Build visualizations for high-priority business critical metrics
• Build causal models, as well as regression algorithms for competitive performance estimation.
  
  

What You'll Need

• 2+ years of work experience in a data analytical/science role (data consulting, data science, data analytics, data engineering)
• Advanced Python, Pandas and SQL skills
• Strong problem-solving skills
  
  

Preferred Qualifications

• Experience with causal inference frameworks
• Proficiency in data visualization tools (e.g., Tableau, Power BI) and experience creating compelling narratives with data
• Knowledge of version control (e.g., Git) and collaborative coding workflows
• Understanding of data modeling and ETL processes.