
Data Scientist
Develops and presents visualizations of findings and recommendations that can be used to support business decisions and allocate resources. Works with departmental stakeholders to document business requirements and helps frame business problems so that appropriate corresponding data science techniques can be identified and applied. Uses statistical computer scripting, domain-specific, and programming languages and other software and tools to digest, manipulate, prepare, augment, evaluate, analyze, summarize, and visualize data. Plans, designs, and manages experiments, consumer surveys, and other data collection projects to augment existing sources of data as necessary to solve business problems. Reviews the work of Predictive Data Analysts and other lower-level analysts assigned to project for quality-control purposes.
Ability to work in a fast paced environment
Two (2) years of experience applying advanced statistical analyses, including predictive analytics, to produce actionable recommendations
Experience is evaluated on the basis of a verifiable 40-hour week.
Predictive analytics
Time management competent
Data management compliance
Hypothesis-driven data analysis
Advanced statistical analyses
Results Oriented
Verbal communication
Detail Oriented
Prioritizing skills
written communication
Problem Solving Skills
Flexibility/Adaptability
Multi tasker
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Los Angeles County, one of California's original 27 counties, was established on Feb. 18, 1850. It is one of the nation's largest counties with 4,084 square miles, and has the largest population of any county in the nation - nearly 10 million residents who account for approximately 27 percent of California's population. As a subdivision of the state, the County is charged with providing numerous services that affect the lives of all residents, including law enforcement, tax collection, public health protection, public social services, elections and flood control.

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