**About the Role** This role sits within the BizTech team that is focused on GTM solutions for Uber Delivery (Eats) business at a global scale. Our team's mission is to unlock the potential growth of the business by providing seamless, intelligent and effective GTM solutions for our Sales Teams across the globe. As a Sr Data Scientist you will have the opportunity to create and enable ML/AI features within the pre-sales, sales and onboarding phases of the lifecycle that drive significant growth. **What the Candidate Will Need / Bonus Points** \-\-\-\- What the Candidate Will Do ---- 1. Refine ambiguous business questions into clear, actionable problems to improve customer engagement/conversion, retention and satisfaction. Ongoing hypotheses about pre-sales and sales lifecycle stages through data analysis. 2. Analyze experimental results to drive impactful conclusions and actionable recommendations. 3. Identify opportunities to enhance GTM systems by integrating predictive models such as customer behavior, purchase propensity or churn risk. 4. Build statistical, optimization, and machine learning models for a range of use cases across GTM Systems. 5. Collaborate with cross-functional teams across disciplines such as product, engineering, and commercial operations to drive system development end-to-end from ideation to productionization. 6. Define how our teams measure success, by developing metrics, in close partnership with cross functional partners. \-\-\-\- Basic Qualifications ---- 1. Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields. 2. 3+ years of industry experience as an Applied or Data Scientist or equivalent. 3. Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics. 4. Experience in experimental design and analysis. 5. Experience with exploratory data analysis, statistical analysis and testing, and model development. 6. Ability to use Python to work efficiently at scale with large data sets. 7. Proficiency in SQL. \-\-\-\- Preferred Qualifications ---- 1. Experience as a Data Scientist or equivalent. 2. Experience managing projects across large, ambiguous scopes and driving initiatives in a fast moving, cross-functional environment. 3. Experience guiding and mentoring other Data Scientists. 4. Experience using statistical methodologies such as sampling, statistical estimates, descriptive statistics, or similar. 5. Experience synthesizing data analyses into clear insights to influence product direction. 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. For San Francisco, CA-based roles: The base salary range for this role is USD$165,000 per year - USD$183,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$165,000 per year - USD$183,000 per year. For all US locations, 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.