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.

• Partner with leaders of Thumbtack's Partnerships and Commercial Programs teams to conduct in-depth quantitative analyses that guide strategic decisions • Measure partnership performance and health, building metrics and dashboards that track the success of integrations with third-party platforms • Design and implement A/B tests, market-based tests, and other experiments • Build and deploy AI-powered data products, tools, and workflows that enable faster, better decision-making • Champion AI adoption within the team—experimenting with different tools to streamline analyses, automate reporting, and uplevel team capabilities • Make recommendations based on detailed analysis and a deep understanding of our business and partnership ecosystem • Build and maintain reports, models, metrics, SQL queries, and dashboards (Looker/Tableau) which provide insight into business performance and outcomes • Identify key drivers of core business outcomes through regression analyses and other statistical techniques • Contribute to our team and company data culture through peer collaboration, training, coaching and sharing of AI best practices