Uber's platform needs to provide seamless and secure experiences for users through statistics, experiment design, and data science model deployment. The role will improve authentication, account management, and account linking flows for users, and use technical and business skills to drive Identity strategy across Uber.
Requirements
- 2+ years of SQL experience (Hive, Spark, and other big data tools would be a plus)
- 2+ years of experience in a data-focused role such as product analytics, business analytics, business operations, or data science
- Experience in experimentation, A/B testing and statistical modeling
- Identity (signup / login / account management / account security) experience would be a plus
- Experience in Python/R would be a plus
- Experience with data analysis and visualization tools, such as Python, R, Tableau
- Proven track record of applying analytical/statistical methods to solve real-world problems using big data
Responsibilities
- SQL
- Experimentation and Causal Inference
- Python
- Evaluation and implementing models in a production environment
- Product Analytics
Other
- Stakeholder management / communication skills
- Advanced degree in Mathematics, Statistics, Computer Science, Economics or other quantitative field
- Proficient at defining, utilizing and communicating performance metrics.
- Creative problem solving, critical thinking skills, and get things done attitude
- Hands-on, data-driven, and attentive to detail
- Comfort with ambiguity and the ability to work in a self-guided manner
