Data Science Specialist Jobs
Data Science Specialist jobs are open across technology, healthcare, finance, and retail, with specializations in machine learning engineering, predictive analytics, and business intelligence, from entry-level analyst to principal and staff data scientist. Find a role that fits below and apply directly.
Find Data Science Specialist JobsOverview
Showing 5 of 770+ Data Science Specialist jobs











Description
DSHS FTAA – Data Science & Informatics Specialist 1
Join our team as a research-focused statistical programmer and use your data analyst skills to support studies that improve social and health services for more than 2.6 million DSHS clients. The Research and Data Analysis (RDA) Division within the Finance, Technology, and Analytics Administration (FTAA) uses linked administrative data to evaluate programs, examine service use and outcomes, and inform policy and operational decisions.
In this role, you’ll use SAS and SQL to extract, link, clean, validate, and analyze large person-level administrative datasets, as well as primary data collected using REDCap. Working alongside researchers, program experts, and partner agencies, you’ll create reproducible analytic files, statistical tabulations, measures, and reports that support applied research and program evaluation.
Some of what you'll do:
- Write, test, document, and maintain SAS programs and SQL queries for research, evaluation, and program performance projects.
- Extract, link, clean, transform, and manage large person-level administrative datasets from multiple state systems, including service, eligibility, claims, encounter, cost, and outcome data, with an emphasis on substance use and mental health conditions and health-related social needs.
- Develop reproducible analytic datasets, cohorts, variables, measures, and data documentation using sound research data-management practices.
- Conduct descriptive and inferential statistical analyses, data tabulations, quality assurance, and validation to support applied research and program evaluation.
- Assess data completeness, consistency, and fitness for use; investigate anomalies and resolve data-quality issues with source-system and program experts.
- Translate research questions and study specifications into clear analytic approaches, programming logic, and accurate results.
- Prepare tables, reports, visualizations, technical documentation, and presentations that communicate methods, limitations, and findings to technical and non-technical audiences. Apply confidentiality, privacy, security, and data-sharing requirements when working with sensitive administrative data, including HIPAA and FERPA requirements.
-
- Proficiency as a statistical programming for data extraction, manipulation, linkage, validation, analysis, and reporting; experience with SAS and knowledge of DATA steps, procedures, macros, and reusable code is highly valued.
- Experience using SQL to query and combine data from relational databases.
- Experience working with large, complex administrative records, such as eligibility, enrollment, claims, encounters, services, costs, transactions, or program outcomes. Experience using Medicaid or behavioral health related claims data is ideal.
- Knowledge of applied research and program evaluation methods, including cohort construction, measure development, descriptive statistics, statistical testing, and interpretation of results.
- Strong data-quality and documentation practices, including code review, validation, version control concepts, metadata, data dictionaries, and reproducible workflows.
- Familiarity with primary data collection tools, such as REDCap, and applied knowledge with managing user access and privileges and providing support and technical assistance to end-users.
- Ability to understand how research questions translate into analytic specifications and be able to explain methods, assumptions, limitations, and findings from analytic datasets with other research staff clearly.
- Experience with R, Python, Excel, Power BI, Tableau, or similar tools is helpful but does not replace the need for strong SAS programming skills. Ability to collaborate effectively with researchers, program staff, database professionals, and external partners while protecting confidential data.
-
We encourage applications from statistical programmers, data analysts, research analysts, , and other professionals who have:
- A bachelor’s degree in statistics, biostatistics, epidemiology, economics, public policy, sociology, public health, data science, mathematics, computer science, informatics, or another quantitative or research-focused field and one (1) year of experience performing data analysis, statistical programming, or applied research.
In addition to the qualifications above, applicants must have at least one (1) year of experience in each of the following areas:
- Using SAS to manage, transform, validate, and analyze data.
- Working with large administrative datasets, such as social or health service records, eligibility or enrollment files, medical claims or encounters, transactions, costs, or other person-level program data.
- Supporting research, program evaluation, policy analysis, or performance measurement by preparing analytic datasets, statistical tabulations, measures, or reports.
- Documenting code, data sources, variable definitions, analytic decisions, and quality-assurance results so work can be reviewed and reproduced.
- Using REDCap, or other primary data collection tools, for data administration and survey design, as well as user management and providing technical assistance.
- Creating dashboards using Excel, Power BI, Tableau, or similar data visualization tools. Using SQL or another query language to retrieve and join data is preferred.
-
Along with your application, please include:
- An updated resume
- A letter of interest Three professional references with contact information
-
Please reach out to DSHS Recruiter Ricky Luna at ricky.luna@dshs.wa.gov and reference job number #07396.
The Department of Social and Health Services’ (DSHS) vision that people find human services to shape their own lives requires that we come together with a sense of belonging, common purpose, shared values, and meaningful work. It is crucial to our agency’s vision that you bring a fairness, access, and social justice commitment to your work with DSHS. We strive to support all Washingtonians, including Black, Indigenous, and People of Color, people with physical, behavioral health, and intellectual disabilities, elders, LGBTQIA+ individuals, immigrants and refugees, and families building financial security.
Supplemental Information
Prior to a new hire, a background check including criminal record history may be conducted. Information from the background check will not necessarily preclude employment but will be considered in determining the applicant’s suitability and competence to perform in the job. This announcement may be used to fill multiple vacancies. Employees driving on state business must have a valid driver's license. Employees driving a privately owned vehicle on state business must have liability insurance on the privately owned vehicle.
Washington State Department of Social and Health Services is an equal opportunity employer and does not discriminate in any area of employment, its programs or services on the basis of age, sex, sexual orientation, gender, gender identity/expression, marital status, race, creed, color, national origin, religion or beliefs, political affiliation, military status, honorably discharged veteran, Vietnam Era, recently separated or other protected veteran status, the presence of any sensory, mental, physical disability or the use of a trained dog guide or service animal by a person with a disability, equal pay or genetic information. Persons requiring accommodation in the application process or this job announcement in an alternative format may contact the Recruiter at (360) 725-5810. Applicants who are deaf or hard of hearing may call through Washington Relay Service by dialing 7-1-1 or 1-800-833-6384.
Relationship and Reporting Structure (Nepotism) Disclosure: If you are selected for hire, you must disclose whether you have a relative, household member, close friend, or romantic partner within your potential supervisory chain of command. DSHS has a Relationships and the Reporting Structure policy that prohibits nepotism and can be reviewed here. Applicants whose appointment would result in a prohibited reporting relationship are not eligible for appointment to that position.
E-Verify® is a registered trademark of the U.S. Department of Homeland Security.
See All 770+ Data Science Specialist Jobs
Find roles that match your experience and apply in just a few clicks.
Find Data Science Specialist JobsData Science Specialist Job Market
Who's Hiring
- Capital One30

- Amazon23

- Information Technology Senior Management Forum19
- Deloitte17

- AbbVie16

Top Industries Hiring
- Technology & Software28
- Education21
- Banking & Financial Services8
- Consulting & Professional Services8
- Retail6
What Employers Look For
The qualifications that appear most often in data science specialist jobs.
- Proficiency in Python and SQL for data manipulation and modeling workflows
- Experience building and deploying machine learning models in production environments
- Familiarity with cloud platforms such as AWS, GCP, or Azure for data infrastructure
- Strong ability to communicate analytical findings to non-technical business stakeholders
- Experience with data visualization tools such as Tableau, Power BI, or similar platforms
- Bachelor's or master's degree in statistics, computer science, mathematics, or a related field
Tips for Your Data Science Specialist Job Search
Tailor your resume to each stack
Data science specialist job listings vary widely by tool requirements. If a posting emphasizes PyTorch and cloud pipelines, your resume should surface those first. Reordering your skills section to mirror the job description consistently improves recruiter callbacks.
Show model impact, not just methods
Hiring managers for data science specialist roles care about outcomes. Instead of listing algorithms you've used, describe what each model achieved in production, such as reducing churn prediction error or cutting processing time for a data pipeline.
Build a portfolio with reproducible notebooks
Many data science specialist candidates submit GitHub repositories, but reviewers favor projects with clean, documented notebooks that run end to end. Include a business problem statement and explain your feature engineering choices, not just the final accuracy score.
Apply early to roles that fit
Migrate Mate lists data science specialist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prep for the technical screen, not just the case study
Data science specialist interviews often open with a SQL or Python coding screen before any modeling discussion. Practice writing window functions and data manipulation queries from scratch under time pressure, since these screens are timed and browser-based.
Negotiate using scope, not just title
When you receive an offer for a data science specialist role, ask about model ownership, compute budgets, and stakeholder access. These factors determine whether you can build meaningful projects, and they give you concrete leverage when negotiating compensation or seniority.
Data Science Specialist Jobs: Frequently Asked Questions
Which companies are hiring the most data science specialists?
Capital One, Amazon, and Information Technology Senior Management Forum are hiring the most data science specialists right now, with openings concentrated in California, New York, and Virginia, based on current listings on Migrate Mate as of November 2026. Demand is especially high at companies scaling their analytics infrastructure or expanding AI-driven product features.
How many data science specialist jobs are remote?
About 74% of data science specialist openings are fully remote or hybrid as of November 2026, reflecting the role's strong compatibility with distributed work. Sub-areas such as machine learning research and business intelligence reporting tend to have the highest share of remote-eligible postings, while roles tied to on-site data infrastructure or hardware are more likely to require in-person presence.
How do you become a data science specialist?
Start by building a foundation in Python or R, SQL, and core statistical concepts through coursework or self-study. Next, work through end-to-end projects that move from raw data to a deployed or documented model, then publish them publicly. Pursue an entry-level analyst or junior data scientist role to gain production experience, and deepen your machine learning knowledge on the job while targeting specialist titles as you grow.
How do you get hired as a data science specialist with little experience?
Focus on demonstrating applied work rather than credentials. Build two or three portfolio projects that solve a real business problem using public datasets, document your methodology clearly, and walk through your reasoning in a README. Applying to companies that run graduate rotation programs or structured data apprenticeships gives you a path in without requiring prior full-time experience, since those programs are designed to develop candidates from a foundation level.
What does the data science specialist interview process look like?
Most processes start with a recruiter screen followed by a technical assessment covering Python, SQL, and sometimes statistics fundamentals. That leads to a take-home case study or a live coding session where you clean data, build a model, and present findings. Final rounds typically include a business case presentation to stakeholders and a behavioral interview focused on how you've translated analytical output into decisions.
Where can I find and apply to data science specialist jobs?
You can find and apply to data science specialist jobs on Migrate Mate, which lists current openings from across the United States. The listings cover roles at every seniority level and across industries including technology, healthcare, finance, and retail. Find roles that fit your background and apply directly to each listing from the page.
See All 770+ Data Science Specialist Jobs
Find roles that match your experience and apply in just a few clicks.
Find Data Science Specialist Jobs