Data Scientist Supervisor

Salary Range: $9,852.82 - $13,278.10 Monthly

SUMMARY

Data Scientist Supervisor (“The Director”) provides administrative and technical supervision to a unit responsible for development and maintenance of Information Technology (IT) systems, and data analytics and business intelligence initiatives for Community Programs (CP) within the Department of Health Services (DHS). Community Programs includes the Office of Diversion and Reentry, the Harm Reduction Division, CalAIM Housing and Reentry Initiatives and other programs that serve people who are justice-involved and/or experiencing homelessness. This position serves as the primary technical resources for data analytics and business intelligence and delivers reporting and evaluation that supports data-driven decision-making and improves operational efficiency, works with senior IT and program leadership to design, implement, and maintain data systems and analytics infrastructure, ensures the integration of CP data with data from multiple health, housing, and justice platforms; and defines the overall vision, governance, and strategy for data analytics, business intelligence, and IT integration within Community Programs.

Position requires expert knowledge of and experience in advanced data and statistical modeling and computational methods, statistical programming languages and packages, and big-data engineering solutions; and the ability to identify and resolve business needs and issues of strategic importance within the assigned department. The position will be a hybrid role, and the office is based in downtown Los Angeles.

ESSENTIAL FUNCTIONS of the Data Scientist Supervisor include, but are not limited to:

• Plans, organizes, supervises, and evaluates complex data analytics, business intelligence and IT integration operations across Community Programs.
• Develops, implements, and monitors large-scale data science and reporting projects from inception to deployment, ensuring objectives and outcomes are met in a timely manner
• Supervises and mentors a diverse team of analysts and data scientists; supports training and development of technical skills; promotes continuous professional development; fosters a collaborative, high-performing work environment; and manages cross-department partnerships on data analytics.
• Advises program leadership on analytics opportunities, emerging technologies, and strategic initiatives to improve operational efficiency and data-driven decision-making.
• Directs the design, development, and maintenance of complex data systems that hold case management, healthcare and justice data, including the Comprehensive Health Accompaniment and Management Platform (CHAMP), the Diversion Database, and the LA County InfoHub. Oversees enhancements to ensure interoperability, usability, and performance. Leads the integration of the data systems with Community Programs’ operations across health, housing and justice programs.
• Works closely with CP leadership across programs to identify business needs and to define the overall strategy and vision for data analytics and IT integration, aligning with DHS and Countywide priorities in health, housing, and justice.
• Collaborates with DHS’ Chief Information Office and DHS Population Health Analytics, and other County departments to improve IT systems, large databases, data pipelines, and analytic tools that improve service delivery, operational efficiency, and program effectiveness.
• Oversees the design and production of dashboards, performance reports, and analytics tools for internal and external stakeholders, including CP teams and contracted providers (e.g. community-based organizations), the Board of Supervisors, managed care plans, and the broader community.
• Leads efforts to standardize data collection, analysis, and reporting practices across programs and providers.
• Directs data governance, privacy, and security initiatives across Community Programs, ensuring compliance with DHS, County, and State requirements.
• Works closely with the CP CalAIM team to support Medicaid claiming; oversees data management, reporting, and data quality assurance for Medicaid billing operations, including CalAIM Community Supports and Enhanced Care Management, and Specialty Mental Health Services and Drug Medi-Cal billing.
• Implements and maintains data infrastructure projects, including creation of a CP data repository in InfoHub and integration of data from non-DHS sources
• Serves as the technical liaison for system integrations with external data exchanges with other County Departments through the County’s Infohub and with non-County partners through LANES (a Countywide Health Information Exchange) and other health information exchange platforms.
• Oversees creation and implementation of data-sharing agreements and MOUs to expand data access and improve interdepartmental collaboration.
• Oversees risk management, incident investigations, and IT security reviews related to CP data systems and reporting platforms.
• Represents CP in Countywide data governance, oversight, and strategic planning committees.
• Promotes innovation in data science and analytics through the exploration and implementation of machine learning, predictive modeling, and other advanced analytic methodologies.

JOB QUALIFICATIONS

Minimum Education/Experience

A Bachelor’s degree from an accredited college or university in Data Science, Computer Science, Information Systems, Mathematics, Machine Learning, Statistics, Business Analytics, Data Analytics, Public Health, Epidemiology or a related field.

AND five (5) years of experience doing large-scale data integration, data reporting and analytics or IT business analysis; coordination or oversight of complex data science projects to support program, policy and operational decision-making and management; and data-driven program design, implementation, evaluation and quality improvement. That experience must include two (2) years supervising a team of a data science professionals.

A Master’s or Doctoral degree in Data Science, Computer Science, Information Systems, Mathematics, Machine Learning, Statistics, Business Analytics, Data Analytics, Public Health, Epidemiology or a related field may substitute for up to two (2) years of experience.

Certificates/Licenses/Clearances

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

Other Skills, Knowledge, and Abilities

• Strong leadership and management skills, with the ability to motivate and inspire a team.
• Proven experience in data analysis and visualization tools, such as SQL, Excel, Tableau, Power BI, or similar tools.
• Excellent analytical and problem-solving skills, with a strong attention to detail.
• In-depth knowledge of statistical analysis techniques and methodologies
• Proficiency in data modeling and data manipulation.
• Strong business acumen and the ability to connect data insights to business objectives.
• Excellent communication and presentation skills, with the ability to translate complex data into clear and actionable insights.
• Ability to work effectively in a fast paced, dynamic environment, managing multiple priorities and meeting deadlines.
• Experience with cloud data platforms like MSFT Azure, AWS, Databricks, Snowflake, Google BigQuery.
• Proven track record of delivering impactful insights and recommendations based on data analysis.
• Demonstrated experience in developing and implementing analytics strategies in a corporate environment.
• Strong understanding of data governance principles and practices.
• Familiarity with data visualization best practices and tools.
• Experience working with large datasets and using statistical analysis techniques.
• Knowledge of programming languages such as Python or R is preferred.
• Certification in relevant analytics tools or methodologies is a plus.

ONLINE APPLICATION REQUIREMENTS

At a minimum, candidates need to submit/upload electronic copies of a resume describing education to include training certifications, and relevant paid and volunteer experience – relevant to the job description essential job functions. Applications need to include legible copies of education diplomas/transcripts as applicable.

A cover introductory letter may be submitted while not required.

Legible copies of certificates to substantiate proficiency in skills, knowledge and abilities may be submitted.

Applications without supporting documentation at the time of application or no more than 5 business days after the initial application will not be included in the candidate pool.

Review of job description at https://helunahealth.org/join-our-team/ is suggested, especially if applying to the position from a third-party online application.

PHYSICAL DEMANDS

Stand Frequently

Walk Frequently

Sit Frequently

Handling Occasionally

Reach Outward Occasionally

Reach Above Shoulder Occasionally

Climb, Crawl, Kneel, Bend Occasionally

Lift / Carry Occasionally - Up to 35 lbs

Push/Pull Occasionally - Up to 35 lbs

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

General Office Setting, Indoors Temperature Controlled

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.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.