Decision Scientist Risk

6 months ago


Hyderabad Telangana, India Uber Full time

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
- Basic Qualifications
- 4+ years of experience in a data-focused role such as product analytics, business analytics, business operations, or data science
- Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience
- Experience in modern programming languages (Matlab, Python) or statistical languages (SQL, SAS, R)
- Past experience with a Product / Tech company serving millions of customers on multiple platforms and countries
- Proven ability to handle and visualise large datasets, explore and utilize raw data feeds
- Preferred Qualifications
- SQL mastery. Write efficient and complex code in SQL
- Experience in Python/R and experimentation, A/B testing, and statistical modelling
- Experience in Risk in a Product / Tech company
- Love of data - you just go get the data you need and turn it into an insightful story.
- A well-organized, structured approach to problem-solving
- Strong sense of ownership, accountability, and entrepreneurial spirit
- Great communicator, problem-solver & confident in decision making
- Independent & autonomous, while still a strong teammate
- Enthusiastic, self-starting and thrives in changing, agile environments
- Liaise with Product and engineering counterparts to launch and impact new products



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