Los Angeles County
SENIOR DATA SCIENTIST
Los Angeles County, Los Angeles, California, United States, 90079
TYPE OF RECRUITMENTOPEN COMPETITIVE
EXAM NUMBERY1764A
APPLICATION FILING PERIOD4/2/2024 AT 8:00 A.M. (PT)This examination will remain open until the needs of the service are met and is subject to closure without prior notice.NO OUT-OF-CLASS EXPERIENCE WILL BE ACCEPTED FOR THIS EXAMINATION.
ABOUT LOS ANGELES COUNTY DEPARTMENT OF HEALTH SERVICES:The Los Angeles County Department of Health Services (DHS) is the second largest municipal health system in the nation. DHS operates as an integrated health system, operating 25 health centers and four (4) acute care hospitals, in addition to providing health care to youth in the juvenile justice system and inmates in the LA County jails. Across the network of DHS' directly operated clinical sites and through partnerships with community-based clinics, DHS cares for about 600,000 unique patients each year, employs over 23,000 staff, and has an annual operating budget of 6.9 billion.
THE MISSION:To advance the health of our patients and our communities by providing extraordinary care.DEFINITION :Under general supervision, leads the development and application of methods to identify, collect, process, organize, and analyze structured and unstructured data using advanced statistical prediction, inference, and optimization; effectively communicates results to County, departmental, and divisional decision makers and provides ongoing support to strengthen data-driven program design and management.
MINIMUM REQUIREMENTS:
Option I: Two (2) years of experience carrying out complex data science projects that included independently developing and applying methods to identify, collect, process, structure, and analyze data using statistical prediction, inference, and optimization to support data-driven program design and management, at a level equivalent to the Los Angeles County class of Data Scientist.*
Option II: A Bachelor’s degree from an accredited college or university in a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health that included 12 semester or 18 quarter units of coursework in data science, predictive analytics, quantitative research methods, or statistical analysis -AND- Six (6) years of experience, applying and overseeing the application of machine learning, predictive analytics, data management, and hypothesis-driven data analysis to make actionable recommendations to support program, policy, and operational decision-making of which two years must have been in a lead capacity. *** A Master’s or Doctoral degree from an accredited college or university in a field of applied research such Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health may substitute for up to two (2) years of experience.
DESIRABLE QUALIFICATIONS:Credit will be given to applicants who possess the following desirable qualifications:Additional experience in option I in excess of the Minimum Requirements.Additional experience in option II in excess of two (2) years of experience in a lead capacity, applying and overseeing the application of machine learning, predictive analytics, data management, and hypothesis-driven data analysis to make actionable recommendations to support program, policy, and operational decision-making.EXAMINATION CONTENT
:An evaluation of education and experience based upon application information, desirable qualifications, and supplemental questionnaire responses,
weighted 100% .Candidates must achieve a passing score of 70% or higher on this examination in order to be added to the eligible register.APPLICATION AND FILING INFORMATION
:Applications must be filed online only. Applications submitted by U.S. Mail, fax, or in person will not be accepted. Applications electronically received after 5:00 p.m., PT, on the last day of filing will not be accepted.
IMPORTANT NOTES:All information and documents provided by applicants is subject to verification.We may reject your application at any time during the examination and hiring process, including after appointment has been made.FALSIFICATION of any information may result in disqualification or rescission of appointment.
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EXAM NUMBERY1764A
APPLICATION FILING PERIOD4/2/2024 AT 8:00 A.M. (PT)This examination will remain open until the needs of the service are met and is subject to closure without prior notice.NO OUT-OF-CLASS EXPERIENCE WILL BE ACCEPTED FOR THIS EXAMINATION.
ABOUT LOS ANGELES COUNTY DEPARTMENT OF HEALTH SERVICES:The Los Angeles County Department of Health Services (DHS) is the second largest municipal health system in the nation. DHS operates as an integrated health system, operating 25 health centers and four (4) acute care hospitals, in addition to providing health care to youth in the juvenile justice system and inmates in the LA County jails. Across the network of DHS' directly operated clinical sites and through partnerships with community-based clinics, DHS cares for about 600,000 unique patients each year, employs over 23,000 staff, and has an annual operating budget of 6.9 billion.
THE MISSION:To advance the health of our patients and our communities by providing extraordinary care.DEFINITION :Under general supervision, leads the development and application of methods to identify, collect, process, organize, and analyze structured and unstructured data using advanced statistical prediction, inference, and optimization; effectively communicates results to County, departmental, and divisional decision makers and provides ongoing support to strengthen data-driven program design and management.
MINIMUM REQUIREMENTS:
Option I: Two (2) years of experience carrying out complex data science projects that included independently developing and applying methods to identify, collect, process, structure, and analyze data using statistical prediction, inference, and optimization to support data-driven program design and management, at a level equivalent to the Los Angeles County class of Data Scientist.*
Option II: A Bachelor’s degree from an accredited college or university in a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health that included 12 semester or 18 quarter units of coursework in data science, predictive analytics, quantitative research methods, or statistical analysis -AND- Six (6) years of experience, applying and overseeing the application of machine learning, predictive analytics, data management, and hypothesis-driven data analysis to make actionable recommendations to support program, policy, and operational decision-making of which two years must have been in a lead capacity. *** A Master’s or Doctoral degree from an accredited college or university in a field of applied research such Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health may substitute for up to two (2) years of experience.
DESIRABLE QUALIFICATIONS:Credit will be given to applicants who possess the following desirable qualifications:Additional experience in option I in excess of the Minimum Requirements.Additional experience in option II in excess of two (2) years of experience in a lead capacity, applying and overseeing the application of machine learning, predictive analytics, data management, and hypothesis-driven data analysis to make actionable recommendations to support program, policy, and operational decision-making.EXAMINATION CONTENT
:An evaluation of education and experience based upon application information, desirable qualifications, and supplemental questionnaire responses,
weighted 100% .Candidates must achieve a passing score of 70% or higher on this examination in order to be added to the eligible register.APPLICATION AND FILING INFORMATION
:Applications must be filed online only. Applications submitted by U.S. Mail, fax, or in person will not be accepted. Applications electronically received after 5:00 p.m., PT, on the last day of filing will not be accepted.
IMPORTANT NOTES:All information and documents provided by applicants is subject to verification.We may reject your application at any time during the examination and hiring process, including after appointment has been made.FALSIFICATION of any information may result in disqualification or rescission of appointment.
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