Overview
Remote
On Site
USD 120,001.00 - 160,000.00 per year
Full Time
Skills
Security Clearance
Data Modeling
Agile
Scrum
Statistical Models
Microsoft SQL Server
Storage
Workflow
Testing
Analytical Skill
Software Architecture
Roadmaps
Dimensional Modeling
Snow Flake Schema
MPP
Database Architecture
Data Quality
Master Data Management
Mobile Device Management
Big Data
Data Visualization
Management
Evaluation
Optimization
Collaboration
Business Operations
Product Engineering
Computer Science
SQL
Microsoft SSIS
Microsoft SQL Server Management Studio (SSMS)
Microsoft Azure
Databricks
Scripting
Microsoft Power BI
Technical Support
Python
Plotly
matplotlib
ArcGIS
Geospatial Analysis
Requirements Elicitation
Project Management
Microsoft
Information Technology
Systems Engineering
FOCUS
Job Details
Job ID: 2511382
Location: REMOTE WORK, TX, US
Date Posted: 2025-11-06
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: None
Clearance Level Must Be Able to Obtain: Public Trust
Potential for Remote Work: Yes
Description
SAIC is seeking a seasoned Data Scientist who possesses knowledge of appropriate data sources to address the specific requirements of projects for data modeling. 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.
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 SQL Server Integration Services (SSIS)
Build data workflows using Microsoft Azure (Azure Data Factory, Storage Accounts, Synapse)
Build data workflows using Databricks
Collaborate with business stakeholders, business operations, and product engineering teams in
Analyzing business problems, in building and testing solutions and data models
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
Master'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
Works the back end data and organizes it into table using SQL scripts and SSIS. SSIS, SSMS
Experience with Microsoft Azure
Experience with Databricks
Experience using Python or other scripting languages in data pipelines
Experience with Microsoft Power BI
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
Experience providing services to the federal government is preferred
Building visualizations using Python (plotly, matplotlib, seaborn, etc)
Experience using ArcGIS or other geospatial software
Requirements gathering and project management experience
Experience with Microsoft Power Apps and Power Automate
Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
Location: REMOTE WORK, TX, US
Date Posted: 2025-11-06
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: None
Clearance Level Must Be Able to Obtain: Public Trust
Potential for Remote Work: Yes
Description
SAIC is seeking a seasoned Data Scientist who possesses knowledge of appropriate data sources to address the specific requirements of projects for data modeling. 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.
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 SQL Server Integration Services (SSIS)
Build data workflows using Microsoft Azure (Azure Data Factory, Storage Accounts, Synapse)
Build data workflows using Databricks
Collaborate with business stakeholders, business operations, and product engineering teams in
Analyzing business problems, in building and testing solutions and data models
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
Master'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
Works the back end data and organizes it into table using SQL scripts and SSIS. SSIS, SSMS
Experience with Microsoft Azure
Experience with Databricks
Experience using Python or other scripting languages in data pipelines
Experience with Microsoft Power BI
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
Experience providing services to the federal government is preferred
Building visualizations using Python (plotly, matplotlib, seaborn, etc)
Experience using ArcGIS or other geospatial software
Requirements gathering and project management experience
Experience with Microsoft Power Apps and Power Automate
Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.