Data Scientist

New York, NY, US • Posted 4 days ago • Updated 7 minutes ago
Full Time
On-site
USD $155,000.00 - 189,000.00 per year
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Product Development
  • Testing
  • Dashboard
  • Warehouse
  • Optimization
  • User Experience
  • Information Technology
  • Information Management
  • Management Information Systems
  • Mathematics
  • R
  • Python
  • Database
  • SQL
  • A/B Testing
  • Statistics
  • Regression Analysis
  • KPI
  • Modeling
  • Machine Learning (ML)
  • Time Series
  • Forecasting
  • Impact Analysis
  • Law
  • Legal
  • Collaboration

Summary

Employer: Uber Technologies, Inc.

Job Title: Data Scientist

Job Location: New York, New York

Job Type: Full Time

Rate of Pay: $155,000 to $189,000 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: Leverage data to perform intensive analysis across all areas of business to drive product development. Design experiments and analyze results to draw conclusions. Perform time-series analyses, hypothesis testing, and causal analyses to statistically assess relative impact and extract trends. Build models to enhance understanding of user behavior and predict future performance of cohorts. Create dashboards and reports to regularly communicate results and monitor key metrics. Extract data from warehouse, back-test the model, and compare the model performance and communicate the results. Develop end-to-end solutions to abstract business and engineering problems related to funnel optimization, user engagement, and user experience. May telecommute.

Employer will accept a Master's degree in Engineering (Any), Information Technology, Information Management, Information Systems, Mathematics, Statistics, or related field and two years of experience in the job offered or 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.

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: b1a841e9d1975d8c76305ec2a8e22933
  • Posted 4 days ago
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