Open Competitive Job Opportunity
The Department of Human Resources (DHR) is dedicated to delivering innovative and effective HR solutions. Our focus is on recruiting, developing, and retaining a highly skilled and diverse workforce for the largest County in the nation. Serving as the central HR agency, we collaborate with line operations to ensure a harmonized and well-rounded approach to HR management.
Who are we seeking?
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.
Positions allocable to this class typically report to a Data Scientist Supervisor or a higher-level position responsible for the data analytics, research, or statistical function of a department, and serve as data science project leads and subject matter experts assigned to large and complex data science projects. Incumbents utilize advanced expertise in data science, including standard software tools and programming languages, advanced statistical design and modeling, predictive and prescriptive analytics, and visualization; and are conversant in the principles of data engineering and architecture, contributing to the design of systems to be used by their teams. Senior Data Scientists work collaboratively with both technical and nontechnical partners to develop and complete large-scale projects in response to identified business needs and oversee teams of DATA SCIENTISTs and analysts as part of a large-scale project. Incumbents coordinate and contribute to complex projects that require using advanced methods of data science such as cloud-based data design; data extraction, transformation, and loading; statistical analysis and machine learning; data visualization; and placement of predictive models, automated dashboards, and other data science products into production. Incumbents present their findings to technical and nontechnical stakeholders to support data-driven program design and management; and provide and/or delegate ongoing consultation services to client programs to assist with implementing recommendations as necessary.
Senior Data Scientist is distinguished from Data Scientist in that Senior Data Scientists apply advanced methods of data science to identify new and emerging business problems within their assigned departments and may lead project teams of Data Scientists and other analyst staff.
Positions in this class differ from those that plan, design, conduct and evaluate research projects involving complex experimental designs and data analysis, programming and processing of data, and preparing reports and recommendations based on research findings, in that these classes do not employ machine learning or big data as part of their analyses.
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, or Business Analytics 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, including two (2) years 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. 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, or Business Analytics may substitute for up to two (2) years of experience.
Special Requirement Information
* Experience at the level of Data Scientist is defined as work under the general direction of a Data Science Supervisor or manager responsible for the data analytics, research, or statistical function of a department, independently performing duties of considerable difficulty to complete moderately complex projects or major aspects of large/complex projects that may be divisional, departmental, or Countywide in scope. Incumbents deploy techniques such as data extraction, transformation, and loading; classical statistical analysis and machine learning, including predictive and prescriptive modeling and optimization; and data visualization, to generate critical information and knowledge and effectively communicate findings to technical and nontechnical stakeholders to support data-driven program design, management, and decision-making. Incumbents work with data sets characterized by large volume, moderate complexity, and significant heterogeneity, integrating data from various sources, requiring direct collaboration with data engineers and other IT staff to design and provide feedback on data systems and processes necessary to support their work.
** In order to receive credit for a Bachelor's, Master's, and/or Doctoral degree, you must include a legible copy of the official diploma, official transcripts, or official letter from the accredited institution which shows the area of specialization with your application at the time of filing, or e-mail a copy to AAvetyan@hr.lacounty.gov within seven (7) calendar days of filing. Note: Foreign studies must be evaluated by an academic credential evaluation agency and deemed to be equivalent to degrees from the United States. (See Accreditation Information under Employment Information).
*** In order to receive credit for the 12 semester or 18 quarter units of coursework, you must include a legible copy of the official transcripts from the accredited institution which shows the area of specialization and required coursework with your application at the time of filing, or e-mail a copy to AAvetyan@hr.lacounty.gov within seven (7) calendar days of filing. Note: Foreign studies must be evaluated by an academic credential evaluation agency and deemed to be equivalent to degrees from the United States. (See Accreditation Information under Employment Information).
Physical Expectations
2 - Light. This class includes administrative and clerical positions requiring light physical effort that may include occasional light lifting to a 10-pound limit and some bending, stooping, or squatting. Considerable ambulation may be involved.
License
A valid California Class C Driver License or the ability to utilize an alternative method of transportation when needed to carry out job-related essential functions.
Endorsement of County Qualifications
Selective Certification
In accordance with TITLE 5 - PERSONNEL, APPENDIX 1 (Civil Service Rule 11.03) of the Los Angeles County Code, selective certification may be used for some positions that require special skills and/or training.
Specific knowledge of the specialized functional areas may be the subject of the departmental hiring interview. If you wish to be considered, you MUST clearly indicate the specialized experience on your application and supplemental questionnaire. Any inconsistencies or discrepancies with your job description on the application and supplemental questionnaire will not be considered as qualifying.
This examination will consist of two (2) parts:
- Data Wrangling and Munging
- Machine Learning Workflow Implementation
- Library Usage and Implementation
- Probability and Statistics
- Machine Learning Algorithms and Implementation
- Machine Learning Experiments
Part II: Multiple choice and/or simulation assessment(s), weighted 25%,assessing:
- Deductive Reasoning
- Professional Potential
- Achievement
- Working Relationships
- Analyzing Information
- Learning Quickly
- Generating New Ideas
- Using Time Efficiently
- Working to High Quality Standards
- Adapting to Change
- Coping with Uncertainty
- Willingness to Learn
- Responsibility
Study guides and other test preparation resources are available to help candidates prepare for employment tests. While the guides will help you prepare for the test, we advise you to review all related materials that you deem necessary.
- An interactive, Online Test Preparation System for taking practice tests may be accessed on the Department of Human Resources website at http://hr.lacounty.gov/. Please click on "Find A Job" and then "Job Search Toolkit." Test preparation information is located under the "Employment Test Assistance" section.
- Additional online practice tests are available at https://www.shldirect.com/en-us/practice-tests.
- Applicants who have taken identical components recently for other exams may have their scores automatically transferred to this examination.
- This examination contains test components that may be used in the future for new examinations and your test scores may be transferred.
Please add the below email addresses to your email address book and list of approved senders to prevent email notifications from being filtered as spam/junk/clutter mail.
- AAvetyan@hr.lacounty.gov
- noreply@governmentjobs.com
- info@governmentjobs.com
- talentcentral@shl.com
- noreply@proctoru.com
- donot-reply@amcatmail.com
In lieu o...