See Data Science & Informatics Specialist 1

Position is either a data scientist or informatician as described within the class series concept and performs three or more of the following:
• Independently plans, leads and/or oversees several medium to large complex data science or informatics projects in collaboration with internal and external partners.
• Serves as a technical expert of data science and/or informatics in their review and evaluation of the work of other Data Science & Informatics Specialists.
• Is a first-line supervisor that directs the work of a singular team/unit comprised of Data Science & Informatics Specialists.
• Is responsible for the oversight of the development of fully automated data pipelines that integrate information from various enterprise data sources.
• Independently performs research, analysis, evaluation, and provides recommendations to internal and/or external partners regarding complex data science and/or informatics issues that do not have readily available solutions.
• Provides high-level insights and recommendations on industry-specific decisions, national interoperability policies, standards, and strategies.

This is the senior-level of the series. Positions at this level work under general direction.

Contributes to agency-wide informatics practices, such as interoperability across the agency, data standards across multiple program areas, or implementation of program criteria for multiple program areas;

Develops roadmaps/strategies to advance information exchange over time; analyzes and provides assessment of state and federal policies impacting interoperability and systems;

Designs and develops core metrics reports to help track program policies in meeting strategic goals;

Consults on informatics solutions and decision-support mechanisms to support staff and departments and their information management needs within various contexts;

Using statistical reasoning and established quality control methods, evaluates data for completeness, reasonableness, reliability, accuracy, consistency, and compatibility with other data; identifies questionable data, contacts providers to verify data, and edits or updates data as needed;

Serves as a liaison and provides leadership for program initiatives, including efforts at the state, jurisdictional, or local level;

Contributes to agency-wide data science practices and standards across multiple organization-wide program areas;

Evaluates and validates results to determine statistical accuracy and ensure the output is consistent with the study and investigates fluctuations in statistical results and provides clarifying information to explain them;

Leads the development of data visualization and design standards for the agency;

Designs and reviews the designs of back-end data models and data flows for new dashboards;

Investigates and resolves identified data quality, visualization, or performance issues;

Coordinates informatics priorities with the agency utilizing industry-specific national standards;

Serves as a recognized subject matter expert in informatics and data science;

Leads and oversees complex informatics projects with significant industry-specific impact;

Develops and implements data-driven strategies and policies;

Provides high-level insights and recommendations to guide industry-specific decisions that follow national interoperability policies, standards, and strategies;

Supervises, leads, and/or mentors entry- and journey-level data science and informatic specialists;

Collaborates with agency leadership on critical initiatives;

Establishes partnerships with external stakeholders in the industry and community;

Leads complex data collection, validation, processing, decision modeling and optimization initiatives;

Develops and oversees decision support system implementations;

May be assigned the implementation responsibilities of data-driven legislative directives;

Performs the duties of the lower levels in the series;

Performs other work as required.

Knowledge of: ethical data collection, management and sharing; data analysis techniques and methods; general mathematic principles of probability and statistics; and familiarity with data visualization software (such as Tableau, PowerBI, other); computer programming languages (such as R, SQL, Python); data extraction, manipulation, and transformation; database design and management, data systems and algorithms; informatics and integration/interoperability practices and standards; data privacy and security; research methodology; data communication and dissemination; tribal, jurisdictional, state, and federal requirements and laws relating to data governance and use; familiarity with software development life cycle and system design principles; cloud environments and tools; .

Ability to: work collaboratively and effectively as part of a team to plan, organize, and prioritize projects to achieve shared goals; identify and solve problems, recognize opportunities for process improvement, efficiency gain, and automation across work areas; commit to delivering solutions that work for users; engage with diverse audiences and community partners to provide training to end users; commit to ongoing professional development and learning.

There may be instances where individual positions must have additional licenses or certification. It is the employer’s responsibility to ensure the appropriate licenses/certifications are obtained for each position.

Persons legally authorized to work in the U.S. under federal law, including Deferred Action for Childhood Arrivals recipients, are eligible for employment unless prohibited by other state or federal law.

Master’s degree in informatics, data science, mathematics, computer science, statistics, biostatistics, epidemiology, or related technical or quantitative field, and one (1) year of experience performing data science or informatics data work.


Bachelor’s degree in informatics, data science, mathematics, computer science, statistics, biostatistics, epidemiology, or related technical or quantitative field, and three (3) years of experience performing data science or informatics data work.


Equivalent years of relevant experience.

Experience working in a specialty area, such as public health or healthcare; and/or working with data visualization software and programming may be desired.

New classification: Data Science & Informatics Specialist 3, class code: 501N, 42 Professionals, 80148588, range 76; adopted June 23, 2025; effective July 1, 2025.