Top 1 Statistician Jobs in Orange County Ca

Data Scientist
HTN Wireless —Laguna Hills, CA
- Mid-level
- Office
- Health insurance

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Flexible schedule: choose which projects you take on and when you work, on your own computer, from the comfort of your own home.
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DataAnnotation —Newport Beach, CA
Flexible schedule: choose which projects you take on and when you work, on your own computer, from the comfort of your own home.
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Post Doctoral Scholar
The Ohio State University —Columbus, OH
The successful candidate will play a leading role in designing, developing, and executing research projects involving three-dimensional imaging, intraoral…

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Data Scientist

HTN Wireless
Laguna Hills, CA

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Job Details

Benefits

Health insurance

Qualifications

Investment
Data visualization software proficiency
Predictive modeling analysis
Hypothesis testing
Data validation techniques
SAS
Software coding
Data quality assurance
R
Performance Reporting
Mid-level
SAS language
ROI
Data summary reports
Policy analysis
Database management
Logistic regression
Inferential statistics
Data quality monitoring
Forecasting
Developing investment risk management strategies
Predictive analytics projects
Investment analysis
Simulation analysis
Research findings presentation
Data visualization projects
Data-driven decision making
Statistical significance testing
Data analysis software

Full Job Description

Location: Laguna Hills CA
Project Length: 2 years (extendable)
Benefits: Medical / 401 Plus vacation
Statistician will provide guidance on appropriate statistical approaches for RF studies may include: a full range of statistical experience represented by sample collection, computing, and analyzing statistical data, and applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance, and software programming that includes skills in R, trends packages or data analytics that includes developing programs that display graphical summaries, data visualizations, and explain limitations or nuances of interpretation of large data sets that are tailored towards informing management decisions.

Develop predictive risk models and collaborate across the project team and client. Estimate and validate RF logistic regression and analysis models to analyze the risk associated with RF radio deployments and investment ROIs.

Develop, enhance, validate, and run a stochastic simulation model that forecasts the risk and outstanding liabilities for new and existing RF network assets. Maintain an analytical support framework and performance database that includes over multi-million historical records across 15 years.

Develop risk management strategies and perform policy analysis for new deployment programs and changes to carrier requirements. Analyze and validate the quality of data gathered from various sources and used for predictive modeling and analysis.

Prepare and present deliverables, presentations, and reports that detail the performance of the existing and designed network to internal team members as well as client. Perform all analytical and modelling work in SAS and R.

Send your resume at [email protected]

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