Overview
On Site
Full Time
Skills
IT service management
Google Cloud
Management information systems
Information Technology
Program management
Data mining
Predictive analytics
User experience
Federal government
Big data
Machine Learning (ML)
Artificial intelligence
Data Analysis
Business requirements
Data processing
Data Science
Decision-making
Risk assessment
Technical Support
Business administration
Computer science
Customer service
Problem solving
Project management
Quality management
Strategic thinking
Team building
Word processor
Project lifecycle management
Systems engineering
Data
Security clearance
Adobe AIR
Marketing operations
Operations
Management
Visualization
Analytics
Algorithms
BMC Remedy
Analytical skill
Presentations
Forecasting
Research
Optimization
Design
R
Python
MATLAB
Pandas
Database
SQL
Cloud computing
Microsoft Azure
Amazon Web Services
Reporting
Leadership
Mentorship
Training
Scheduling
ROOT
Apache Spark
Strategy
DoD
Business analytics
Economics
ITIL
Statistics
Adaptability
Communication
Teamwork
Facilitation
SAP BASIS
Policies
FOCUS
Job Details
Job ID: 2404036
Location: SCOTT AFB, IL, US
Date Posted: 2024-03-15
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: Secret
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: No
Description
The National Security Customer Group of SAIC is seeking Data Scientist to support the IT Service Delivery effort for USTRANSCOM (USTC) located at Scott Air Force Base (AFB) in Illinois, approximately 20 Miles from St. Louis, MO. The USTC Managed Information Technology Services (MITS) contract is intended to provide strategic, technical, and program management guidance and support services to facilitate the operations and modernization of the combatant command's infrastructure, systems, and applications. This support will be provided to the USTC Command, Subordinate Commands, and other supporting organization as directed on behalf of the Command Control, Communications & Cyber Systems Directorate (TCJ6).
As an Enterprise data analyst you will drive the process of accumulating, analyzing and processing huge data sets to derive insights while making smarter business decisions. It employs different techniques, including data mining, predictive analytics, correlations, data discovery, visualization and more. Enterprise analytics discover potholes in the customer journey, identify emerging trends in the IT Service Delivery industry or user experience processes. As an Enterprise data analyst you will help the organization convert complex information into actionable insights and take proactive actions to achieve objectives.
Responsibilities
Responsible for supporting technique development efforts for applications within the federal government.
The ideal candidate is adept at using big data sets and applying machine learning and artificial intelligence techniques for analysis and prediction tools focused on environmental and meteorological applications.
Needs to have strong experience using a variety of data mining/data analysis methods, the use of a variety of data tools, constructing and imposing models, using/creating algorithms and creating/running simulations.
The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve enterprise outcomes.
Work with large, complex datasets and remedy difficult, non-routine analysis problems, applying advanced analytical methods as needed.
Conduct end-to-end analysis that consists of data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
Build and prototype analysis pipelines iteratively to provide insights at scale.
Make recommendations such as cost-benefit, forecasting, and experiment analysis with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
Research and develop analysis, forecasting and optimization methods to improve the quality of operational data processing systems.
Interact cross-functionally with teams, and work closely with them to identify opportunities for design and to examine improvements for SAIC engaged solutions.
Apply data science concepts to build predictive analytics tools using cutting edged techniques to exploit big data
Experience with statistical software such as R, Python, MATLAB, pandas and database languages such as SQL
Experience with cloud platforms such as Azure, AWS or Google Cloud Platform
Develops and manages information to support enterprise decision making.
Manages and improves existing reporting systems.
Conducts and facilitates (and educates and trains on) analyses, issues identification, organizational risk assessment, and decision-making processes.
Provides consulting and analytic services to leadership.
Provides technical support and mentoring and training to less-senior analysts.
Develops methodology and processes for prioritization and scheduling of projects.
Analyzes problems and determines root causes.
Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.
Works closely with all Directorate Branches and engineering teams to develop strategy for long term data platform architecture.
This position is for Monday through Friday, normal business hours.
Qualifications
DoD Secret clearance
BA/BS in business administration, economics, computer science, management information systems, or related field or equivalent related experience
Defense Cyber Workforce (DCWF) Work Role ID: 422
ITIL 4 Foundations
Proficiency in statistics, data analysis, and research methods
Demonstrated knowledge of and skill in adaptability, decision making, customer service, interpersonal relations, oral communication, problem solving, project management, quality management, teamwork, written communication, group presentations, group process facilitation, influence, results orientation, strategic thinking, and team building
Demonstrated knowledge of and skill in word processing, spreadsheet, and database PC applications
Ability to become familiar with basic project management approaches, tools and phases of the project lifecycle.
Prior experience working on customer site.
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.
Location: SCOTT AFB, IL, US
Date Posted: 2024-03-15
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: Secret
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: No
Description
The National Security Customer Group of SAIC is seeking Data Scientist to support the IT Service Delivery effort for USTRANSCOM (USTC) located at Scott Air Force Base (AFB) in Illinois, approximately 20 Miles from St. Louis, MO. The USTC Managed Information Technology Services (MITS) contract is intended to provide strategic, technical, and program management guidance and support services to facilitate the operations and modernization of the combatant command's infrastructure, systems, and applications. This support will be provided to the USTC Command, Subordinate Commands, and other supporting organization as directed on behalf of the Command Control, Communications & Cyber Systems Directorate (TCJ6).
As an Enterprise data analyst you will drive the process of accumulating, analyzing and processing huge data sets to derive insights while making smarter business decisions. It employs different techniques, including data mining, predictive analytics, correlations, data discovery, visualization and more. Enterprise analytics discover potholes in the customer journey, identify emerging trends in the IT Service Delivery industry or user experience processes. As an Enterprise data analyst you will help the organization convert complex information into actionable insights and take proactive actions to achieve objectives.
Responsibilities
Responsible for supporting technique development efforts for applications within the federal government.
The ideal candidate is adept at using big data sets and applying machine learning and artificial intelligence techniques for analysis and prediction tools focused on environmental and meteorological applications.
Needs to have strong experience using a variety of data mining/data analysis methods, the use of a variety of data tools, constructing and imposing models, using/creating algorithms and creating/running simulations.
The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve enterprise outcomes.
Work with large, complex datasets and remedy difficult, non-routine analysis problems, applying advanced analytical methods as needed.
Conduct end-to-end analysis that consists of data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
Build and prototype analysis pipelines iteratively to provide insights at scale.
Make recommendations such as cost-benefit, forecasting, and experiment analysis with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
Research and develop analysis, forecasting and optimization methods to improve the quality of operational data processing systems.
Interact cross-functionally with teams, and work closely with them to identify opportunities for design and to examine improvements for SAIC engaged solutions.
Apply data science concepts to build predictive analytics tools using cutting edged techniques to exploit big data
Experience with statistical software such as R, Python, MATLAB, pandas and database languages such as SQL
Experience with cloud platforms such as Azure, AWS or Google Cloud Platform
Develops and manages information to support enterprise decision making.
Manages and improves existing reporting systems.
Conducts and facilitates (and educates and trains on) analyses, issues identification, organizational risk assessment, and decision-making processes.
Provides consulting and analytic services to leadership.
Provides technical support and mentoring and training to less-senior analysts.
Develops methodology and processes for prioritization and scheduling of projects.
Analyzes problems and determines root causes.
Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.
Works closely with all Directorate Branches and engineering teams to develop strategy for long term data platform architecture.
This position is for Monday through Friday, normal business hours.
Qualifications
DoD Secret clearance
BA/BS in business administration, economics, computer science, management information systems, or related field or equivalent related experience
- 5+ years data analyst or related experience, including proficiency with analytical software or equivalent related education.
Defense Cyber Workforce (DCWF) Work Role ID: 422
ITIL 4 Foundations
Proficiency in statistics, data analysis, and research methods
Demonstrated knowledge of and skill in adaptability, decision making, customer service, interpersonal relations, oral communication, problem solving, project management, quality management, teamwork, written communication, group presentations, group process facilitation, influence, results orientation, strategic thinking, and team building
Demonstrated knowledge of and skill in word processing, spreadsheet, and database PC applications
Ability to become familiar with basic project management approaches, tools and phases of the project lifecycle.
Prior experience working on customer site.
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.