Data Scientist, Risk

1 week ago

Hyderabad Telangana, India Uber Full time

**About the Role**
- Build and maintain fraud rules in response to evolving fraud behaviors;
- Extract insights from the large volumes of data and come up with new strategies to mitigate/stop fraudulent activities;
- Build deep understanding of the Risk data, reporting, and key metrics;
- Conduct experimentations to test and optimize the effectiveness of risk mitigation solutions and products.
- Participate in project definition and idea generation, work on collaborative projects with stakeholders across the globe such as product, engineering, comm ops and data science with a focus on the Risk/Fraud mitigation;
- Effectively communicate and present findings to the management team to strengthen business decisions.
- With guidance from manager, define and develop area of expertise;
- Attend regular training courses, functional business review meetings, and all-hands;
- Stay highly engaged and always hustle as Uber Risk is a very fast-paced environment
- Basic Qualifications -- Minimum 1 years of experience in a data-focused role such as product analytics, business analytics, business operations, or data science
- Bachelors or Masters in Mathematics, Statistics, Computer Science, Operational Research, Economics or other quantitative field.
- Creative problem-solving, critical thinking skills, and get things-done attitude.
- Advanced SQL expertise.
- Experience using Python.
- 1yrs+ experience in improving products, understanding the user journey, and extracting insights from data.
- 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).
- Comfort with ambiguity and the ability to work in a self-guided manner
- Superb communication and stakeholder management skills
- Proven aptitude toward Data Storytelling and Root Cause Analysis using data
- Preferred Qualifications -- Risk/Fraud/Payments experiences a plus
- Experience in experimentation, A/B testing and statistical modeling would be a plus
- Experience in Python/R

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