Data Scientist II, Tech

About the Role

Customer Obsession Data Science is looking for hard-working analysts 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 leveraging GenAI, that are deeply coordinated with the Uber customer support experience, making it easy for our customers and customer support representatives to get to 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 the Candidate Will Need / Bonus Points

What the Candidate Will Do

1. Collaborate with cross-functional customers to find opportunities, design, implement and analyze experiments, and perform deep dives to drive business impact
2. Understand business goals and apply appropriate analytics, causal inference, experimentation and machine learning to provide practical insights to business partners
3. Work closely with the Engineering teams to create data instrumentation and improve data quality
4. Communicate optimally with non-technical customers on technical topics
5. Maintain focus and efficiency and be able to navigate among ambiguity

Basic Qualifications

1. M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, 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 and some dashboarding/data visualization (i.e. Tableau, Mixpanel, Looker, or similar)

Preferred Qualifications

1. Advanced degrees in Math, Economics, Statistics, Engineering, Computer Science, Operation Research, Machine Learning or other quantitative field
2. 3+ years of industry experience in consumer-facing product analytics
3. Strong storytelling: distill interesting and hard-to-find insights into a compelling, concise data story
4. Advanced experience with experimental design and statistical methods such as causal inference.
5. Ability to communicate effectively and manage relationships with partners coming from both technical and non-technical backgrounds
6. Excellent judgment, critical thinking, and decision-making skills
7. Ability to tackle sophisticated business problems that cross multiple product/project areas and teams
8. Balance attention to detail with swift execution
9. Proven ability to identify key stakeholders and manage high expectations

For San Francisco, CA-based roles: The base salary range for this role is USD$140,000 per year - USD$156,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$140,000 per year - USD$156,000 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.

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.

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.