Data Scientist II, Tech

• Posted 28 days ago • Updated 18 days ago
Full Time
USD $174,304.00 - 209,164.00 per year
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Job Details

Skills

  • Reporting
  • Risk Management
  • Management
  • Decision-making
  • Mathematics
  • Computer Science
  • Research
  • Economics
  • R
  • Python
  • Database
  • SQL
  • A/B Testing
  • Statistics
  • Regression Analysis
  • KPI
  • Modeling
  • Machine Learning (ML)
  • Time Series
  • Forecasting
  • Impact Analysis
  • Fraud
  • Payments
  • Law
  • Legal
  • Collaboration

Summary

Employer: Uber Technologies, Inc.

Job Title: Data Scientist II, Tech

Job Location: Sunnyvale, California

Job Type: Full Time

Rate of Pay: $174,304 to $209,164 per Year

You will be eligible to participate in Uber's bonus program, and may be offered other types of comp. You will also be eligible for various benefits. More details can be found at the following link [](;br>
Duties: Perform statistical analyses to understand risk and fraud behaviors and contribute to the development of fraud detection features and models. Build and maintain fraud rules in response to evolving fraud behaviors. Extract insights from large volumes of data to formulate new strategies for mitigating or stopping fraudulent activities. Develop a deep understanding of risk data, reporting, and key metrics. Conduct experiments to test and optimize the effectiveness of risk mitigation products and solutions. Participate in project definition and collaborative initiatives with global stakeholders focused on risk and fraud mitigation. Present findings effectively to the management team to support business decision-making. With guidance, define and develop a specific area of expertise. Stay engaged and proactive, as the environment is fast-paced. May telecommute.

Employer will accept a Master's degree in Mathematics, Statistics, Computer Science, Operational Research, Economics, or a related field and 2 years of experience in the job offered or in a related occupation.

Position requires:

1. R or Python;
2. Database query languages: SQL;
3. Experimentation techniques including simulation or A/B testing;
4. Statistical analysis including descriptive statistics, correlation, regression, or confidence intervals;
5. Developing relevant metrics;
6. KPIs to measure performance by product teams;
7. Quantitative modeling including machine learning models, time-series forecasting, or casual impact analyses;
8. Experience in risk, fraud, or payments.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](;br>
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90958168
  • Position Id: 70fa027528f5fe2c6ee1a6de7c2afcd2
  • Posted 28 days ago
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