Where You’ll Work Virginia Mason Franciscan Health has a rich history of providing exceptional healthcare, dating back to 1891. Building upon a legacy of compassionate care and innovation, our organization has evolved over the years through strategic partnerships and integrations to expand our reach and services across the Puget Sound area.Today, as Virginia Mason Franciscan Health, we remain deeply committed to healing the whole person – body, mind, and spirit – in the communities we serve. This commitment is strengthened by the diverse expertise and shared values brought together through our growth.Our dedicated providers offer a full spectrum of health care services, from routine wellness to complex disease management, all grounded in rigorous research and education. Our comprehensive network of 10 hospitals and nearly 300 care sites strategically located across the greater Puget Sound region reflects our ongoing commitment to accessibility and comprehensive care.We are proud of our pioneering medical advances and numerous awards and accreditations that reflect our dedication to excellence. When you join Virginia Mason Franciscan Health, you become part of a team that delivers top-quality, professional healthcare in modern, well-equipped facilities, and contributes to a legacy of service built on collaboration and shared purpose. Job Summary and Responsibilities This job is responsible for staffing/leading collaborative efforts to design, develop, test, implement and maintain data modeling and analytics solutions for use in clinical, quality and population health improvement. Work includes representing data in contexts to include reports, dashboards, quantitative analytic models and interactive analysis tools. An incumbent will conceptualize and develop analytic solutions to help address Virginia Mason Franciscan Health's (VMFH) complex challenges using a variety of data science, analytic techniques, and tools. Work includes anticipating and supporting the information needs of VMFH clinical and business partners, enabling data-driven decision-making, and contributing to a culture of collaborative analytics throughout the organization. Working with front-line clinicians, administrative leaders and information systems personnel, an incumbent will expand advanced clinical analytics capabilities and relevant components of the data and analytics infrastructure while maintaining high standards of data governance in alignment with industry and regulatory standards. Work requires knowledge of hierarchical and relational database design and application development including but not limited to SQL server, SSIS, VBA, ODBC, AWS. Requires experience in working with Epic EMR data sets in Clarity and Caboodle. Also requires familiarity with EMR reporting and business intelligence tools and expertise with respect to data architecture, technical documentation and end-user training/support. Key Responsibilities Include: Direct querying aqainst the Epic EMR data sets in Clarity and Caboodle (This requires Epic certification) Facilitates data-influenced decision making across VMFH; creates actionable insights from data to assist all levels of management and clinical leadership in making key business and clinical quality decisions. Strives to become a recognized internal subject matter expert and consultant on clinical, quality, data governance and population health data and data sources. Develops, validates, applies and maintains scalable data models including visualizations, statistical models and predictive/prescriptive (machine learning) models. Continuously reviews and updates deliverables to align with current regulatory, contracted and evidence-based quality metrics; researches and applies industry best practices in clinical population health analytics and data management. Works directly with clinicians and business intelligence staff to assure the integrity of clinical data used for analytics and reporting, including supporting initiatives to define and validate new clinical data mart tables. Builds competencies, under the direction and mentorship of higher-level colleagues, in advanced predictive analytics methods and data consolidation. Consults with stakeholders to discuss/understand business needs/requirements and to identify viable technological solutions/opportunities; prepares detailed specifications/record layouts and/or current/revised work flow diagrams from which interfaces/applications/databases will be written. Designs, develops (including complex coding) and documents interfaces/applications/databases that address user needs and meet professional development standards; develops scenarios and scripts to test new/updated tools to ensure desired functionality and that results produced are in line with objectives; troubleshoots/debugs problematic performance/issues; transfers programs to production environment when testing has been completed successfully; prepares and conducts end-user training as necessary. Maintains/updates interfaces/applications/databases once implemented; makes changes in tables/logic and tools; adds and deletes codes and other information; works with IT staff and other resources when systems are being upgraded to identify impact on existing interfaces. Serves as point-person for all issues and/or malfunctions involving the technical aspects of the assigned programs/tools; receives general alerts in the event of a problem, runs internal diagnostics to identify problems, troubleshoots and identifies causes/issues and executes timely resolution that may involve reconfiguration or re-programming of internal code. Provides internal consulting for departments in overall data management concepts/tools and select special applications to facilitate automation of end-user processes and workflows. Performs necessary procedures to ensure the safety of information systems assets and to protect systems from intentional or inadvertent access or destruction; implements security procedures to accommodate system and user requirements. Job Requirements - Bachelor's degree of Science in a Quantitative Discipline (BS in mathematics, statistics, health services research, informatics, epidemiology or research-oriented MPH) and three years of related work experience in quantitative data analysis, including one year in healthcare context. - Or any equivalent combination of education and experience which provides the required knowledge, skills and abilities to perform the essential functions of the position. - EPIC Certification (EPIC) required.

SAIC is seeking a Data Architect/Consultant with expertise in Databricks to design and implement an enterprise-level data environment. This role will focus on creating data pipelines, setting up a scalable platform, and delivering actionable insights through data visualization. The ideal candidate will align data management strategies to organizational objectives and establish robust data governance practices. Responsibilities: - Design and implement an enterprise data platform using Databricks and develop robust data pipelines. - Build data visualization tools to provide impactful insights for decision-making. - Define and enforce data governance rules and procedures, ensuring secure and effective data usage. - Map data assets to enterprise strategic objectives to enable alignment with organizational goals. - Stay updated on emerging data technologies and best practices. SAIC® is a premier Fortune 500® mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives. We are approximately 24,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.5 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

• Propose and conduct quantitative research into key user behaviors, product flows, and business trends; based on analysis and in collaboration with cross-functional partners, identify potential new opportunities and next steps for the product team • Design and analyze experiments and other tests for causal inference, in collaboration with engineers, applied scientist, and economists • Partner with product managers, engineers, etc. to help scope new features, e.g., scenario modeling for possible impact on key metrics, make recommendations on business logic of new features, etc. • Define and monitor key metrics; investigate changes in metrics and propose next steps • Develop topic area expertise, e.g., develop a deep understanding of how Thumbtack search works and interacts with other systems • Contribute to our team and company data culture through accessible data table design and maintenance • Collaborate with, mentor, and help recruit team members

Thumbtack helps millions of people confidently care for their homes. Thumbtack is the one app you need to take care of and improve your home — from personalized guidance to AI tools and a best-in-class hiring experience. Every day in every county of the U.S., people turn to Thumbtack to complete urgent repairs, seasonal maintenance and bigger improvements. We help homeowners know which projects to do, when to do them and who to hire from our growing community of 300,000 local service businesses. If making an impact inspires you, join us. Imagine what we’ll build together. About the Data Science Team The Data Science team empowers Thumbtack to use data to guide business decisions. We collaborate with partners across the company to solve the most analytically challenging problems -- everything from informing how we set prices across almost a thousand local services categories, to evaluating the impact of a new business model on company performance, to identifying early predictors of high-quality customers. We are a tight-knit, intellectually curious team that is committed to improving Thumbtack and improving each other. About the Role Data Scientists at Thumbtack are empowered early on to leverage their critical thinking, interpersonal, and technical skills to make a positive impact on the company. Data Scientists embed with product teams to support new product feature launches, study the economics of our massive and dynamic marketplace, and help inform strategy. Pros are the backbone of Thumbtack, and we're making a major bet on a fundamentally better experience for them. This role sits on the supply side of our Fulfillment pillar, focused on capturing richer inputs from pros and routing that signal into our matching, pricing, and demand fulfillment models — making the marketplace smarter and more valuable on both sides. The work is high-ambiguity by design: we're building something new, and the Data Scientist here will be central to how we define success, run experiments, and decide what to scale. What you'll do - Propose and conduct quantitative research into key user behaviors, product flows, and business trends; based on analysis and in collaboration with cross-functional partners, identify potential new opportunities and next steps for the product team - Design and analyze experiments and other tests for causal inference, in collaboration with engineers, applied scientist, and economists - Partner with product managers, engineers, etc. to help scope new features, e.g., scenario modeling for possible impact on key metrics, make recommendations on business logic of new features, etc. - Define and monitor key metrics; investigate changes in metrics and propose next steps - Develop topic area expertise, e.g., develop a deep understanding of how Thumbtack search works and interacts with other systems - Contribute to our team and company data culture through accessible data table design and maintenance - Collaborate with, mentor, and help recruit team members In order to be successful, you must bring - 4+ years of experience in data science, analytics or economics - Experience managing stakeholders with competing priorities in areas such as Product Management, Design, Engineering and Marketing - Experience scoping, analyzing, and communicating results of experiments - Expert in SQL - Strong communication skills and ability to build strong relationships cross-functionally and with leadership - Bachelor’s, Master’s, or Doctoral degree in a technical area such as: Statistics, Engineering, Analytics, Math, Computer Science, Operations Research, Economics Expected salary ranges - For candidates living in Ontario and British Columbia, the expected salary range for the role is currently $150,500 - $194,700. Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role. Note: Thumbtack uses AI tools to support our resume screening process. However, our Recruiting team’s expertise and judgment guide hiring decisions. #LI-Remote Thumbtack embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by federal, provincial, state, or local law. We also will consider for employment qualified applicants with arrest and conviction records, consistent with applicable law. Thumbtack is committed to working with and providing reasonable accommodation to individuals with disabilities. If you would like to request a reasonable accommodation for a medical condition or disability during any part of the application process, please contact: recruitingops@thumbtack.com. If you are a California resident, please review information regarding your rights under California privacy laws contained in Thumbtack’s Privacy policy available at https://www.thumbtack.com/privacy/. We put as much craftsmanship into candidate safety as we do into the hiring experience itself. While scammers may try to impersonate our team, we’ll never ask you for money, banking info, or SSNs during hiring. Check out our blueprint on how to spot the fakes.