SAIC · 2 hours ago
Data Scientist
SAIC is seeking a seasoned Data Scientist with experience in a modern analytics technology stack. The role involves building pipelines and front-end dashboards and applications, collaborating with various teams to translate business requirements into technical work using Agile/Scrum methodology.
Information TechnologySecurityService IndustrySoftware
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
Qualification
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
Company
SAIC
SAIC specializes in IT, enterprise IT, engineering, and professional services.
H1B Sponsorship
SAIC has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (11)
2024 (18)
2023 (14)
2022 (15)
2021 (10)
2020 (27)
Funding
Current Stage
Public CompanyTotal Funding
$522.13MKey Investors
U.S. Geothermal
2025-09-22Post Ipo Debt· $500M
2010-09-13Post Ipo Equity· $22M
2006-10-13IPO
Leadership Team
Recent News
2025-12-16
2025-12-16
2025-12-05
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