Data Scientist II

Data Scientist II Department: Data Science Team: Data Scientist Location: San Francisco, United States Type: Full-Time **About the Role** Customer Obsession Team is looking for a Data Scientist to join the team, a group responsible for ensuring every Uber customer support experience is extraordinary. Specifically, this team works to build self-service technology, including AI agents leveraging GenAI, that are deeply integrated with the Uber customer support experience, making it easier for our customers and customer support representatives to achieve the right outcome faster. We are also responsible for building the models and algorithms that identify customer intentions, propose the best solutions, and help improve the overall customer experience with Uber. \-\-\-\- What You Will Do ---- 1. Build self-service technology, including AI agents leveraging GenAI, and continuously innovate and improve the Uber customer support experience for different personas, including AV customers. 2. Collaborate with cross-functional customers to find opportunities, design, implement and analyze experiments, and perform deep dives to drive business impact 3. Understand business goals and apply appropriate analytics, causal inference, experimentation and machine learning to provide practical insights to business partners 4. Work closely with the Engineering teams to create data instrumentation and improve data quality 5. Communicate optimally with non-technical customers on technical topics 6. Maintain focus and efficiency and be able to navigate among ambiguity \-\-\-\- Basic Qualifications ---- 1. M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, or other quantitative fields 2. A minimum of 3+ years of industry experience is required 3. Advanced SQL expertise 4. Solid understanding of experimental design (such as A/B experiments) and statistical methods 5. Ability and experience in extracting insights from data, and summarizing findings/takeaways 6. Experience with Excel/Gsheet and dashboarding/data visualization (i.e. Tableau, Mixpanel, Looker, or similar) \-\-\-\- Pref