Sr Data Scientist

Job ID 2511816

Location REMOTE WORK, TX, US

Date Posted 2025-11-24

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 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

• 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
• Must be a US Citizen and able to obtain a Public Trust

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.