Product Data Scientist, Payments

Há 5 dias

São Paulo, São Paulo, Brasil Uber Tempo inteiro
**About the Role**
We are looking for a Data Scientist to join our Payments Data Science and Analytics team and make significant contributions to our mission to streamline and optimize Uber's global payment experiences.
You will work with product managers, engineers and fellow data scientists to shape the direction of one or more products within Payments. You will work on fast-moving, high-stakes problems reaching a global audience. A deep analytical passion and the ability to execute on key business priorities is a must for this role.
Note about the role: If you are interested in advanced modeling and putting models into production, this role might not be what you're looking for. We have an Applied Science team which works on these types of projects.
**What You'll Do**
- Analyze key data assets to understand our payment experiences.
- Develop and monitor strategic metrics and understand all underlying drivers.
- Design and run experiments to analyze the impact of product changes.
- Deep dive into data to evaluate proposed product changes and identify opportunities for improving the user experience.
- Collaborate with product managers and other business leaders to make decisions based on data insights and experiment results.
- Communicate your findings to cross functional peers and management.
**What You'll Need**
- 3+ yrs of experience in improving products, understanding the user journey and extracting insights from data.
- Advanced SQL expertise
- 2yrs+ experience launching multiple experiments (such as A/B experiments) and an understanding of experimental design and using statistical methods in exploratory analysis
- Experience with dashboarding/data visualization (i.e. Google Data Studio, Tableau, Mixpanel, Looker or similar).
- Ability to work in a self-guided manner
- Superb communication and organization skills
- Stakeholder management experience
**Preferred Qualifications**
- Bachelors or M.S. with a degree in Statistics, Economics, Computer Science, or other quantitative fields.
- Prior experience within the payments industry.
- Experience using Python or R.
- Data engineering/pipeline creation experience.
- Ability to deliver on tight timelines and prioritize tasks while maintaining quality and detail

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