**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. **What You Will Do** - Use data to understand competitors’ performance and to identify improvement opportunities. - Conduct competitive intelligence deep dives and present findings to senior management to inform business decisions. - Build statistical, optimization, and machine learning models for applications to domains like pricing, targeting, and experimentation. - 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. \-\-\-\- Basic Qualifications ---- - B.S or M.S. in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative field - 3+ years of industry experience as an Applied or Data Scientist or equivalent - Experience with exploratory data analysis, statistical analysis and testing, and model development. - Ability to use Python, SQL, R or similar technologies to work efficiently with large data sets - Coding and SQL proficiency and ability to develop statistical analysis and algorithm prototyping in Python - Strong communication skills across technical, non-technical, and executive audiences \-\-\-\- Preferred Qualifications ---- - 5+ years of industry experience in a similar role - Experience in competitive intelligence. - Experience in algorithm development and prototyping. - To be highly detail-oriented. - Excellent judgment, critical-thinking, and decision-making skills. - Ability to translate data science findings into business strategy - Self-motivated with the ability to work independently. - Ability to work closely with cross-functional stakeholders to execute decisions. - Strong verbal and written communication, and presentation skills - Ambition and enthusiasm to seek opportunities to build value. For New York, NY-based roles: The base salary range for this role is USD$174,000 per year - USD$193,500 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits). Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](https://forms.gle/aDWTk9k6xtMU25Y5A). Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.