Sr. Scientist - Competitive Intelligence

About the Role

The Global Intelligence team works to understand the strategy and performance of Uber and other companies with similar products through a combination of external and internal data. Uber operates in a diverse array of markets and product categories filled with rapidly evolving competing options; assessing the success or failure of a product or strategy depends on understanding this context. Doing this, and doing it well, is an interesting and difficult problem. The team uses its expertise in data analysis, statistical modeling, economics, and business to build scalable data products.

We are looking for experienced candidates with a passion for solving new and difficult problems with data. You will build out and own competitive models/metrics, provide key insights, conduct deep dive analysis to understand new opportunities and empower teams to make more informed business and strategy decisions with competitive intelligence.

1. Use data to understand competitors' performance and to identify improvement opportunities.
2. Conduct competitive intelligence deep dives and present findings to senior management to inform business decisions.
3. Build statistical, optimization, and machine learning models for applications to domains like pricing, targeting, and experimentation.
4. Collaborate with cross-functional teams across disciplines such as product, engineering, and operations to drive competitor intelligence development end-to-end from ideation to productionization.

1. B.S or M.S. in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative field
2. 3+ years of industry experience as an Applied or Data Scientist or equivalent
3. Experience with exploratory data analysis, statistical analysis and testing, and model development.
4. Ability to use Python, SQL, R or similar technologies to work efficiently with large data sets
5. Coding and SQL proficiency and ability to develop statistical analysis and algorithm prototyping in Python
6. Strong communication skills across technical, non-technical, and executive audiences

1. 5+ years of industry experience in a similar role
2. Experience in competitive intelligence.
3. Experience in algorithm development and prototyping.
4. To be highly detailed-oriented.
5. Excellent judgment, critical-thinking, and decision-making skills.
6. Ability to translate data science findings into business strategy
7. Self-motivated with the ability to work independently.
8. Ability to work closely with cross-functional stakeholders to execute decisions.
9. Strong verbal and written communication, and presentation skills
10. Ambition and enthusiasm to seek opportunities to build value.