Data Scientist


Job ID 2512249

Location REMOTE WORK, TX, US

Date Posted 2025-12-10

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

  • 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.