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Data Scientist 1 at PayPal

San Jose, California, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Feb, 26

Salary

243500.0

Posted On

08 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

R, Python, SQL, Statistical Analysis, Descriptive Statistics, Correlation, Regression, Confidence Intervals, Metrics, KPIs, Debugging, Monitoring, A/B Testing, Simulation, Quantitative Modeling, Machine Learning, Time Series Forecasting

Industry

Software Development

Description

Job Duties: Research and develop analytical insights to inform data-driven decisions and communicate ideas through storytelling. Analyze consumer portfolio performance and health by challenging the status quo and drive data backed decision making. Collaborate effectively with cross functional stakeholders from product, marketing, finance, data engineering and other analytics teams. Support multiple projects at the same time in a fast-paced, results-oriented environment. Performing scalable analysis using R and Python [2 years] Database query languages including SQL [2 years] Statistical analysis, including descriptive statistics, correlation, regression, or confidence intervals [2 years] Developing relevant metrics or KPIs to measure performance by product teams [2 years] Debugging and monitoring for production services [2 years] Experimentation techniques including A/B testing or simulation [1.5 years] Quantitative modeling, including machine learning models, time series forecasting or casual impact analyses [1.5 years] Data analysis or machine learning systems [2 years] Salary: $174,304.00-243,500.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m. The total compensation for this position includes standard company benefits and is based on various factors including but not limited to relevant skills and experience. Your recruiter can share more information about our total compensation package during the hiring process. Must be legally authorized to work in the U.S. without sponsorship. Subsidiary:

Responsibilities

Research and develop analytical insights to inform data-driven decisions and communicate ideas through storytelling. Collaborate effectively with cross-functional stakeholders from product, marketing, finance, data engineering, and other analytics teams.