What are the responsibilities and job description for the Staff Scientist - Competitive Intelligence position at Uber?
About The Role
The Global Intelligence team is at the forefront of shaping Uber's competitive strategy through data-driven insights. We leverage external and internal data to evaluate Uber's performance within a rapidly evolving landscape of competitors, market dynamics, and product innovations. Understanding success in this complex environment requires rigorous analytical frameworks, innovative methodologies, and scalable data solutions.
We are seeking an experienced candidate with a passion for tackling highly ambiguous, high-impact problems using data. You will tackle highly ambiguous, high-impact problems, applying your expertise in statistical modeling, machine learning, causal inference, and economics to uncover insights that shape critical business and product decisions. Beyond analysis, you will architect scalable data products, mentor other scientists, and collaborate cross-functionally to embed competitive intelligence into Uber's decision-making at the highest levels.
What The Candidate Will Need / Bonus Points
What the Candidate Will Do
The Global Intelligence team is at the forefront of shaping Uber's competitive strategy through data-driven insights. We leverage external and internal data to evaluate Uber's performance within a rapidly evolving landscape of competitors, market dynamics, and product innovations. Understanding success in this complex environment requires rigorous analytical frameworks, innovative methodologies, and scalable data solutions.
We are seeking an experienced candidate with a passion for tackling highly ambiguous, high-impact problems using data. You will tackle highly ambiguous, high-impact problems, applying your expertise in statistical modeling, machine learning, causal inference, and economics to uncover insights that shape critical business and product decisions. Beyond analysis, you will architect scalable data products, mentor other scientists, and collaborate cross-functionally to embed competitive intelligence into Uber's decision-making at the highest levels.
What The Candidate Will Need / Bonus Points
What the Candidate Will Do
- Leverage advanced analytical methods-including statistical modeling, causal inference, funnel analysis, and deep-dive analytics-to uncover Uber's largest opportunities in a competitive landscape and drive high-impact business decisions.
- Translate complex analyses into actionable insights and present findings to business leaders, executives, and cross-functional partners to shape strategy.
- Collaborate with Product, Operations, and Engineering teams to define and execute a roadmap of high-impact initiatives, ensuring competitive intelligence is deeply integrated into Uber's decision-making.
- Provide technical mentorship and thought leadership, elevating the team's analytical rigor and advancing best practices in statistical and ML methodologies.
- Ph.D., M.S., or Bachelor's degree in Economics, Statistics, Machine Learning, Operations Research, or a related quantitative field.
- 6 years of industry experience as an Applied Scientist, Data Scientist, or equivalent role.
- Strong foundation in statistical methods and modeling, including experimental design (e.g., A/B testing) and causal inference.
- Proficiency in SQL, along with experience coding in Python or R for data analysis and modeling.
- Proven ability to extract insights from data, translate complex analyses into actionable takeaways, and drive strategic decision-making.
- Exceptional communication skills, with the ability to present findings effectively to technical, non-technical, and executive audiences.
- Experience in competitive intelligence, external data analysis, or strategic analytics.
- Advanced expertise in experimental design and causal inference, including observational studies and quasi-experimental methods.
- Hands-on experience working with messy, incomplete, and noisy data to extract insights and drive business impact.
- Proven ability to collaborate with senior stakeholders (Director ), influencing strategy and decision-making with data-driven insights.
- Strong judgment, critical thinking, and decision-making skills, with the ability to navigate ambiguity and prioritize effectively in a fast-paced environment.
Salary : $216,000 - $240,000