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 effectively with a wide range of audiences, including technical and nontechnical staff, and stakeholders.

JOB QUALIFICATIONS

The ideal candidate possesses strong analytical and problem-solving abilities, enabling them to extract insights from complex datasets and drive data-driven decision-making. They should have excellent communication skills to collaborate effectively with both technical and non-technical stakeholders. A solid understanding of machine learning, statistical modeling, and data governance best practices is essential. Additionally, candidates should be adaptable and proactive in exploring new methodologies to drive continuous improvement and ensure alignment with organizational priorities.

Education/Experience

• 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.

Certificates/Licenses/Clearances

• Successful clearing through the Live Scan process with the County of Los Angeles.

Other Skills, Knowledge, and Abilities

• 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.

PHYSICAL DEMANDS

Stand: Not applicable

Walk: Not applicable

Sit: Frequently

Handling / Fingering: Constantly

Reach Outward: Constantly

Reach Above Shoulder: Not applicable

Climb, Crawl, Kneel, Bend: Not applicable

Lift / Carry: Occasionally - Not applicable

Push/Pull: Occasionally - Not applicable

See: Constantly

Taste/ Smell: Not Applicable

Not Applicable = Not required for essential functions

Occasionally = (0 - 2 hrs/day)

Frequently = (2 - 5 hrs/day)

Constantly = (5 hrs/day)

WORK ENVIRONMENT

Hybrid

EEOC STATEMENT

It is the policy of Heluna Health to provide equal employment opportunities to all employees and applicants, without regard to age (40 and over), national origin or ancestry, race, color, religion, sex, gender, sexual orientation, pregnancy or perceived pregnancy, reproductive health decision making, physical or mental disability, medical condition (including cancer or a record or history of cancer), AIDS or HIV, genetic information or characteristics, veteran status or military service.

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 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. JOB QUALIFICATIONS The ideal candidate possesses strong analytical and problem-solving abilities, enabling them to extract insights from complex datasets and drive data-driven decision-making. They should have excellent communication skills to collaborate effectively with both technical and non-technical stakeholders. A solid understanding of machine learning, statistical modeling, and data governance best practices is essential. Additionally, candidates should be adaptable and proactive in exploring new methodologies to drive continuous improvement and ensure alignment with organizational priorities. Education/ Experience 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. Certificates/ Licenses/ Clearances Successful clearing through the Live Scan process with the County of Los Angeles. Other Skills, Knowledge, and Abilities 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. PHYSICAL DEMANDS Stand: Not applicable Walk: Not applicable Sit: Frequently Handling / Fingering: Constantly Reach Outward: Constantly Reach Above Shoulder: Not applicable Climb, Crawl, Kneel, Bend: Not applicable Lift / Carry: Occasionally - Not applicable Push/ Pull: Occasionally - Not applicable See: Constantly Taste/ Smell: Not Applicable Not Applicable = Not required for essential functions Occasionally = (0 - 2 hrs/day) Frequently = (2 - 5 hrs/day) Constantly = (5 hrs/day) WORK ENVIRONMENT Hybrid

search terms: Data Scientist+Data Science