**Description** SAIC is seeking a seasoned Data Scientist with experience in a modern analytics technology stack and is capable of building pipelines and front-end dashboards and applications. Understand business requirements and translating into technical work. Design and implement features in collaboration with team engineers, product owners, data analysts, and business partners using Agile / Scrum methodology. The candidate must have experience in modern interactive web applications and visualizations. **Responsibilities:** + Build and maintain statistical models. + Ability to build programs or systems that can take data and turn it into meaningful information that can be studied. + Install continuous pipelines of huge pools of filtered information so that data analyst/scientists can pull relevant data sets for their analyses. + Build data workflows using Microsoft Azure (Azure Data Factory, Storage Accounts). + Build data workflows and machine learning models in a Databricks environment. + Building visualizations using Python (plotly, matplotlib, seaborn, etc.). + Build interactive geospatial products using ArcGIS or similar software. + Develop solutions with Microsoft Power Apps and Power Automate. + Collaborate with business stakeholders, business operations, and product engineering teams in. + Analyzing business problems, in building and testing solutions and data models. + Building interactive analytics applications using Shiny and similar packages/frameworks. + Experience implementing and operating analytic models and services. + Document the current-state and target-state software architecture and create roadmap plans for success on various software components. + Knowledge of dimensional modeling techniques (star & snowflake). + Knowledge of MPP database architecture. + Knowledge of Data Quality, MDM solutions. + Experience with tuning big data pipelines using data bricks. + Working knowledge of data visualization tools i.e. Power BI. + Assist in the design, implementation, and maintenance of complex solutions. + Build systems that collect, manage, and convert raw data into usable information for business analysts to interpret. + Make data accessible for evaluation and optimization. + Collaborate with business stakeholders, business operations, and product engineering teams. + Coordinate activities with other technical personnel as appropriate. **Qualifications** **Required:** + Bachelor's degree in computer science, systems engineering, or related technical discipline. + 10 years of experience as a Data Scientist/Engineer/Administrator or similar role. + 8 years of additional relevant experience may substitute for education. **Preferred:** + Experience with Microsoft Azure. + Experience with Databricks. + Experience using Python or other scripting languages in data pipelines. + Experience with Microsoft Power BI. + Experience with version control (Git, etc.). + Ability to work independently with minimal direction providing technical and non-technical support to multiple users. + Capable of working under pressure, while handling multiple tasks simultaneously. + Ability to work overtime and weekends required on occasion. + Experience providing services to the federal government is preferred. + Requirements gathering and project management experience. Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors. REQNUMBER: 2512249 SAIC is a premier technology integrator, solving our nation's most complex modernization and systems engineering challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and simulation; and training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see Working at SAIC. EOE AA M/F/Vet/Disability