DSHS FTAA Data Science & Informatics Specialist 2

State of Washington•Thurston County – Olympia, WA

21h

About The Position

Join our team as a Data Science & Informatics Specialist 2 and help turn complex data and research into insights that shape health and human services across Washington. The Research & Data Analysis (RDA) Division within the Finance, Technology, and Analytics Administration (FTAA) provides data, analytics, and decision-support tools that help improve services for 2.8 million DSHS clients. In this role, you’ll contribute to complex research and evaluation projects, using advanced statistical methods and large, integrated datasets to examine program effectiveness, outcomes, trends, and policy impacts. You’ll collaborate with researchers, program leaders, technology staff, and agency partners to develop meaningful data products including statistical analyses, dashboards, presentations, and technical reports that support informed policy decisions and program improvements. The work you do will have a direct and consequential impact on the services provided to people across Washington.

Requirements

Advanced research and statistical expertise, including knowledge of multivariate statistical methods, research design, sampling, quantitative analysis, and the ability to apply scientifically sound methods to complex research and evaluation questions.
Strong data science and informatics knowledge, including data extraction, manipulation, transformation, integration, database design, data systems, algorithms, programming, and data visualization using tools such as R, SQL, Python, SAS, or similar technologies.
The ability to provide expert consultation and sound recommendations to senior leaders and program staff, including interpreting research findings and explaining their implications for planning, programs, policies, and services.
Experience leading or collaborating on complex research and evaluation projects, and federally funded grant projects, including coordinating teams and producing high-quality research, evaluation, or policy reports.
Strong communication and data storytelling skills, including the ability to present complex technical and statistical information clearly through written products, presentations, dashboards, and plain-talk explanations for diverse audiences.
Strong project management, problem-solving, and collaboration skills, including the ability to work independently and as part of a team, manage multiple priorities, facilitate workgroups, and identify opportunities to improve processes, efficiency, and automation.
A commitment to ethical and responsible data practices, including knowledge of data privacy, security, governance, research ethics, data sharing, applicable laws and requirements, and a commitment to ongoing professional development and learning.
Documented training in multivariate statistical methods, sampling, and research design.
Experience using sophisticated quantitative research methods, including research design, sampling, and complex multivariate statistical analyses.
Experience conducting quantitative research examining the impact of programs, interventions, policy changes, and/or predictive analytics relevant to health or social services using SAS, STATA, SPSS, or other advanced statistical analysis software.
Authorship of at least one recently published report or peer-reviewed article detailing research and evaluation findings based on sophisticated, multivariate research designs in a policy context.

Responsibilities

Collaborate on complex research and evaluation projects that examine the need, use, effectiveness, costs, and outcomes of DSHS, Health Care Authority, and Department of Children, Youth & Families programs and services, with a focus on substance use and mental health conditions and related social health needs.
Design and perform advanced statistical analyses using methods such as multivariate analysis, quasi-experimental research, and predictive modeling to answer complex policy and evaluation questions.
Prepare, clean, validate, integrate, and analyze large and complex datasets from multiple structured and unstructured sources to support rigorous research, evaluation, and performance measurement.
Develop meaningful data products including performance measures, indicators, dashboards, data tables, visualizations, presentations, policy briefs, and technical reports that clearly communicate findings and outcomes.
Respond to complex and ad hoc data requests by identifying appropriate data sources, analytical methods, and measures to address policy, program, and performance questions.
Provide expert consultation and technical assistance to RDA colleagues, program managers, and agency leadership, helping interpret research findings, understand data limitations, and apply results to program planning, policy, and decision-making.
Contribute to team leadership and professional development by coordinating projects, facilitating workgroups, mentoring early-career data science and informatics staff, and supporting high-quality research practices across RDA.