Data Scientist

Heluna Health•Alhambra, CA

1d•Hybrid

About The Position

The Data & Analytics Unit at the Los Angeles County Department of Health Services (DHS) is responsible for collecting, analyzing, and interpreting healthcare data to support decision-making. This unit manages patient care and operational data, utilizing analytics to identify patterns, predict outcomes, and enhance service delivery, while also ensuring data integrity, security, and regulatory compliance. The Data Scientist's role involves conducting advanced data analysis, developing predictive models, and generating actionable insights for strategic decision-making. This includes working on complex analytical projects, optimizing data pipelines, and contributing to both machine learning and statistical modeling. The Data Scientist will collaborate with stakeholders to understand business challenges and ensure data-driven solutions align with program objectives and organizational goals.

Requirements

Bachelor’s or Master’s degree from an accredited institution in Data Science, Computer Science, Statistics, Mathematics, or a related field.
3+ years of experience in data science, advanced analytics, or a similar role.
Experience with statistical modeling, machine learning, and predictive analytics.
Successful clearing through the Live Scan process with the County of Los Angeles.
Proficiency in programming languages such as Python, R, or SQL.
Experience with data visualization tools (e.g., Tableau, Power BI) and cloud platforms (e.g., AWS, Azure, GCP).
Understanding of data pipeline development and ETL processes.
Strong analytical and problem-solving skills.
Ability to communicate technical findings to non-technical stakeholders.
Ability to work in a fast-paced, collaborative environment.
Passion for learning and professional growth.
Agile methodologies.

Responsibilities

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.
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.
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.
Develops and presents visualizations of findings and recommendations that can be used to support business decisions and allocate resources.
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.
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.
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 effectively with a wide range of audiences, including technical and nontechnical staff, and stakeholders.