What are the responsibilities and job description for the Data Scientist II, Tech position at Uber?
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 ----
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 ----
- Collaborate with cross-functional customers to find opportunities, design, implement and analyze experiments, and perform deep dives to drive business impact
- Understand business goals and apply appropriate analytics, causal inference, experimentation and machine learning to provide practical insights to business partners
- Work closely with the Engineering teams to create data instrumentation and improve data quality
- Communicate optimally with non-technical customers on technical topics
- Maintain focus and efficiency and be able to navigate among ambiguity
- M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields
- A minimum of 3 years of industry experience is required
- Advanced SQL expertise
- Solid understanding of experimental design (such as A/B experiments) and statistical methods
- Ability and experience in extracting insights from data, and summarizing findings/takeaways
- Experience with Excel and some dashboarding/data visualization (i.e. Tableau, Mixpanel, Looker, or similar)
- Advanced degrees in Math, Economics, Statistics, Engineering, Computer Science, Operation Research, Machine Learning or other quantitative field
- 3 years of industry experience in consumer-facing product analytics
- Strong storytelling: distill interesting and hard-to-find insights into a compelling, concise data story
- Advanced experience with experimental design and statistical methods such as causal Inference.
- Ability to communicate effectively and manage relationships with partners coming from both technical and non-technical backgrounds
- Excellent judgment, critical thinking, and decision-making skills
- Ability to tackle sophisticated business problems that cross multiple product/project areas and teams
- Balance attention to detail with swift execution
- Proven ability to identify key stakeholders and manage high expectations
Salary : $140,000 - $156,000
