Data Scientist

Salary Range: $8,840.09 - $11,912.82 monthly

SUMMARY

The Data & Analytics Unit is responsible for collecting, analyzing, and interpreting healthcare data to support decision-making across the Los Angeles County Department of Health Services (DHS).

The unit manages patient care and operational data, using analytics to identify patterns, predict outcomes, and improve service delivery.

The unit also ensures data integrity, security, and regulatory compliance.

The Data Scientist is responsible for conducting advanced data analysis, developing predictive models, and generating actionable insights to support strategic decision-making.

This role involves working on complex analytical projects, optimizing data pipelines, and contributing to both machine learning and statistical modeling efforts.

The Data Scientist collaborates with stakeholders to understand business challenges and ensure data-driven solutions align with program objectives and organizational goals.

ESSENTIAL FUNCTIONS
1.

Collaborates with division, department, and countywide stakeholders to solicit, define, and manage data science projects from conception through implementation, including identifying and developing statements of business problems; conducting exploratory data analysis and data mining; developing model specification requirements; and conducting advanced statistical analyses.
2.

Independently conducts advanced analytical studies for the resolution of business problems and transfigures data into critical information by selecting and deploying appropriate advanced statistical techniques such as machine learning, bivariate and multivariate analyses, predictive/prescriptive analytics, and optimization. 
3.

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.
4.

Develops and presents visualizations of findings and recommendations that can be used to support business decisions and allocate resources.
5.

Contributes to advanced analytic products (e.g., Recommender Engines, Auto Classification algorithms, Predictive Scoring, geo-spatial clustering, NLP classifier, etc.) and helps place them in production.

Recommends ongoing improvements to methods and algorithms that lead to findings, including new information.
6.

Provides business metrics for departmental projects to show improvements both initially and over multiple iterations.

 Provides ongoing tracking and monitoring of performance of decision systems and statistical models and troubleshoots and implements enhancements and fixes to systems as needed.
7.

Works with functional teams to develop and implement products, services, and tools, such as dashboards and reports, emerging from the analysis.

Conveys findings and conclusions of work orally, in writing, visually, in presentations, and by developing interactive tools as appropriate to communicate effec...