Data Scientist
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Riverton, UT
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Dec 14, 2023
learning methodologies. Perform query creation, data cleaning, data compliance review, feature selection/creation for model training, and model validation and implementation using knowledge of statistical modeling, causal inference and advance experimental methods, querying, data wrangling, Python or R coding.
Research latest machine learning algorithms and best practices to implement in new risk models and present to coworkers. Perform ad-hoc statistical analysis for model validation, feature compliance, and senior management support. Identify valuable data sources and collect data, using SQL programming skills, Python, R, Linux System, Microsoft Office (Word, Excel, Power Point). Transfer
data into a new format to make it more appropriate for analysis. Create new, experimental frameworks to collect data. Search and explore through large data sets for useable information.
Design data modeling process to create algorithms and predictive models. Train data to machine learning/ statistical models. Validate statistical models. Presenting results to team and stakeholders. This is a fully remote position. Work from home benefit available. Since this is a fully remote position and employee can work from any location in the U. S. the worksite is unanticipated. Degree and Major required: Masters degree in Data Science, Computer Science, Information Technology or analytics related
filed. Experience Required: One (1) year as a Data Engineer, Risk Analyst, or closely related occupation.
Special Requirements: Demonstrable ability and prior experience in: SQL programming skills; Python, R, Linux System, Microsoft Office (Word, Excel, Power Point) Statistical Modeling, causal inference and advance experimental methods, querying, data wrangling, Python. Travel: none
