Data Scientist Risk Opportunity 2025 | Uber is hiring Data Scientist Risk . The working location is Hyderabad, India. Interested candidates can apply online as soon as possible. The detailed eligibility and application process are given below.
Data Scientist Risk Job Openings At Uber | Hyderabad- Overview
| Company Name: | Uber |
| Job Role: | Data Scientist Risk |
| Location: | Hyderabad |
| Work Mode: | On-site |
| Last Date to Apply: | ASAP |
Job Description
- Own the loss metrics for the assigned line of business/Region and design logics and scalable solutions to mitigate fraud causing modus operandi
- Own new risk solution and related experimentation including plan creation, roll-out, and monitoring
- Be an invaluable partner to cross-functional teams such as engineering, product management, various data teams to deploy data quality across critical pipelines and to set up processes to triage data issues
- Develop and track metrics and reporting functions to measure and monitor risk products on our platform
- Effectively and proactively communicate insights and drive projects to drive towards team goals
- Proactively seek out opportunities to build new solutions to tackle Risk
Skills Required:
- SQL mastery. Write efficient and complex code in SQL
- Experience in Python/R and experimentation, A/B testing, and statistical modelling
- Proven ability to handle and visualise large datasets, explore and utilize raw data feeds
- A well-organized, structured approach to problem-solving
- Strong sense of ownership, accountability, and entrepreneurial spirit
- Great communicator, problem-solver & confident in decision making
- Enthusiastic, self-starting and thrives in changing, agile environments
- Liaise with Product and engineering counterparts to launch and impact new products
Responsibility
- Own the loss metrics for the assigned line of business/Region and design logics and scalable solutions to mitigate fraud causing modus operandi
- Own new risk solution and related experimentation including plan creation, roll-out, and monitoring
- Be an invaluable partner to cross-functional teams such as engineering, product management, various data teams to deploy data quality across critical pipelines and to set up processes to triage data issues
- Develop and track metrics and reporting functions to measure and monitor risk products on our platform
- Effectively and proactively communicate insights and drive projects to drive towards team goals
- Proactively seek out opportunities to build new solutions to tackle Risk
