This job posting for a Data Scientist I role at Uber in Hyderabad or Bangalore focuses on developing analytical insights for product development, fraud prevention, and risk platform improvements. Here’s a summary of the key points:
Key Responsibilities:
- Own and manage loss metrics for specific business lines/regions and design scalable fraud prevention solutions.
- Lead risk solution development, experimentation, and monitoring.
- Collaborate with cross-functional teams (engineering, product management, data teams) to ensure data quality and resolve data issues.
- Develop and track risk product metrics and reporting functions.
- Proactively identify new risk solutions and drive relevant projects.
Basic Qualifications:
- 2+ years of experience in data-focused roles (product analytics, business analytics, or data science).
- Educational background in Engineering, Computer Science, Math, Economics, Statistics, or equivalent experience.
- Experience with programming (Python, Matlab) or statistical languages (SQL, SAS, R).
- Prior experience in tech companies, especially those with multi-platform and international customer bases.
- Ability to work with large datasets and derive meaningful insights.
Preferred Qualifications:
- Mastery of SQL for complex coding.
- Experience in Python/R, A/B testing, and statistical modeling.
- Experience in Risk within a product/tech company.
- Strong problem-solving, communication skills, and decision-making abilities.
- An entrepreneurial mindset with a focus on ownership and accountability.
- Ability to work independently and as part of a team in agile environments.
Uber seeks individuals who are passionate about using data to solve complex problems in risk management and fraud prevention, and who can thrive in dynamic and collaborative settings.
For more details, you can apply directly on Uber’s Career page.