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State of Washington Classified Job Specification

DATA SCIENCE & INFORMATICS SPECIALIST 2

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DATA SCIENCE & INFORMATICS SPECIALIST 2
Class Code: 501M
Category: Science & Engineering


Class Series Concept

See Data Science & Informatics Specialist 1

Definition

Position is either a data scientist or informatician as described within the class series concept and contributes to data-driven initiatives and projects by performing three or more of the following:
• Performs data collection, data validation, data cleaning, data analysis, preprocessing, and integration of structured and unstructured data from multiple sources.
• Proposes, initiates, and contributes as a member of a team to one or more data-driven projects/initiatives, as assigned.
• Provides data analysis, design, maintenance, operation, enhancement, and configuration of data systems and informatics capabilities.
• Designs statistical models and data algorithms.
• Develops data visualizations, and generates and disseminates data products including data tables, graphics, and written reports.
• Develops fully or partially automated workflows.
• Creates and proposes systems, tools, and processes that meet interoperability standards and requirements.
• Extracts, organizes, and analyzes large data sets using Statistical Analysis System (SAS) and/or Structured Query Language (SQL), in accordance with nationally recognized data governance standards and requirements.

Distinguishing Characteristics

This is the journey-level of the series. Positions at this level work under general supervision.

Typical Work

Leads data validation, analysis and modeling projects for division/department/agency issues;

Analyzes and interprets data for reports and presentations and makes recommendations based on analyses;

Conducts analysis of program operations and workflows where needed and assists with development of scope and specifications for system design and/or use cases;

Consults with IT professionals in the development, implementation, configuration, enhancement, upgrading, and maintenance of information systems;

Provides support for data analysis requests and development, maintenance, operation, enhancement, and configuration of data systems and informatics capabilities;

Informs complex data definitions and logic models for analysis and measures;

Performs a broad and moderately routine to complex range of tasks associated with informatics responsibilities including but not limited to: system planning and design, policy development, system analysis, communication, project management, system development and implementation, and evaluation, as well as training in industry-specific informatics concepts, methods, and tools;

Designs and implements advanced statistical models and data algorithms;

Leads in the development of data visualizations;

Collaborates with industry-specific experts to provide actionable insights;

Creates systems, tools and processes that meet interoperability standards and requirements;

Performs appropriate biostatistical analyses;

Review and interpret data to inform public action;

Contributes to strategic decision-making in agency initiatives;

Provides epidemiologic and/or analytic support to develop surveillance data products for teams/programs;

Develops and implements routine systemic data quality checks and data cleaning protocols using statistical software such as R, SAS, and SQL;

Participates in complex technical epidemiologic projects in collaboration with stakeholders from multiple teams/program;

Conducts literature reviews, and prepares informatics models, frameworks, or summary reports/documents;

Develops and implements decision support systems;

Assists in developing and maintaining data systems, databases, and environments;

Trains and aids informatics system users;

Conducts risk analysis and develop mitigation strategies;

Mentors early career data science and informatic specialists and contributes to team leadership;

Performs the duties of the lower levels in the series;

Performs other work as required.

Knowledge and Abilities

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); programming (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 data 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 data 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.

Legal Requirement(s)

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.

Desirable Qualifications

Master's degree in informatics, data science, mathematics, computer science, statistics, biostatistics, epidemiology, or related technical or quantitative field.

OR

Bachelor's degree in informatics, data science, mathematics, computer science, statistics, biostatistics, epidemiology, or related technical or quantitative field, and two (2) years of professional experience performing data science or informatics data work.

OR

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.

Class Specification History

New classification: Data Science & Informatics Specialist 2, class code: 501M, 42 Professionals, 80148588, range 72; adopted June 23, 2025; effective July 1, 2025.