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County of Los Angeles · 5 months ago

DATA SCIENTIST / EMERGENCY APPOINTMENT HOMELESSNESS

Los Angeles County, CA

Full-time

Onsite

Mid Level

4+ years exp

The County of Los Angeles is addressing the homelessness crisis and is seeking qualified candidates for Data Scientist positions within the Department of Public Health. The role involves supporting data collection and evaluation of services, analyzing key metrics, and collaborating with various stakeholders to improve program effectiveness.

CommunitiesGovernmentNon Profit

Comp. & Benefits

Responsibilities

Handles data requests from California and Los Angeles County Correctional Facilities regarding individual’s substance use disorder (SUD) treatment history by verifying Releases of Information (ROI) and conducting data mining and analysis across multiple datasets in Sage (e.g., screening/assessments, CalOMS, claims) to respond timely and effectively; maintains transparency through detailed records of all data requests, analyses, and outcomes

Develops and implement advanced data science projects to evaluate CalAIM JII’s effectiveness by analyzing key metrics such as treatment linkage, timely access, professional-to-professional warm hand-off, and care coordination outcomes. Collaborates with SAPC divisions and stakeholders to provide data insights for strategic decisions, program improvement, and impact maximization

Contributes to the design and continuous improvement of data collection methods and performance indicators for pre-release and post-release services, ensuring effective coordination with Correctional Facility Pre and post-release Care Managers

Utilizes advanced statistical and machine learning methods to uncover trends, predict outcomes, and inform interventions. Develop and maintain dashboards and reports to present findings to stakeholders and program leadership

Uses analytical software (e.g., SAS, R, Python), other computer languages (e.g., SQL), data visualization tools (e.g., SAS Visual Analytics, Power BI, Tableau), and advanced data visualization techniques to develop and present data visualizations of findings and recommendations from evaluation and predictive modeling projects to support SAPC’s data-driven policy and operational decisions for SAPC’s CalAIM JII implementation

Qualification

Statistical analysisMachine learningData visualizationData managementPredictive analyticsSQLPythonSASCollaborationCommunicationProblem-solving

Required

Two (2) years of experience applying advanced statistical analyses, including predictive analytics, to produce actionable recommendations to support data-driven program, policy, and operational decision-making, at a level equivalent to the Los Angeles County class of Predictive Data Analyst

A Bachelor's degree from an accredited college 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

Four (4) years of experience applying machine learning, predictive analytics, data management, and hypothesis-driven data analysis to produce actionable recommendations to support data-driven 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, Business Analytics, Psychology, or Public Health may substitute for up to two (2) years of experience

A valid California Class C Driver License or the ability to utilize alternative method of transportation when needed to carry out job-related essential functions