Data Scientist
Job in
New York, New York County, New York, 10001, USA
Listed on 2026-03-04
Listing for:
Uber
Full Time
position Listed on 2026-03-04
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist, Machine Learning/ ML Engineer, Data Engineer
Job Description & How to Apply Below
Job Summary
:
Uber Technologies, Inc. is a leading technology company that focuses on transportation and mobility solutions. They are seeking a Data Scientist to leverage data for intensive analysis, drive product development, and enhance understanding of user behavior.
Responsibilities
:
• 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.
Qualifications
:
Required
:
• Master's degree in Engineering (Any), Information Technology, Information Management, Information Systems, Mathematics, Statistics, or related field
• R or Python
• Database query languages: SQL
• Experimentation techniques including simulation or A/B testing
• Statistical analysis including descriptive statistics, correlation, regression, or confidence intervals
• Developing relevant metrics
• KPIs to measure performance by product teams
• Quantitative modeling including machine learning models, time-series forecasting, or causal impact analyses
Company
:
Uber develops, markets, and operates a ride-sharing mobile application that allows consumers to submit a trip request. Founded in 2009, the company is headquartered in San Francisco, USA, with a team of 10001+ employees. The company is currently Late Stage.
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