Data Scientist I

CareerCircle
United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
0 years minimum
Compensation
$131,300.0 - $237,350.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Data Analysis Systems Engineering JIRA Big Data Business Process Model and Notation Cloud Computing Cyber Security Computer Graphics
+47 more
Data Architecture Data Validation Information Engineering Data Governance Data Infrastructure Data Integration Data Integrity Extract Transform Load (ETL) Data Transformation Data Structures Data Visualization Data Warehousing Relational Databases Decision Support Systems Document-Oriented Databases R (Programming Language) Apache Hadoop Systems Analysis Python (Programming Language) MATLAB Machine Learning Mathcad Metadata Scrum Methodology Power BI Salesforce.Com Simulink SQL Databases SQL Server Analysis Services Systems Modeling Language Systems Integration Tableau (Software) UML Workflow Management Systems MagicDraw Data Storage Technologies Data Strategy Information Technology Modeling and Simulation Data Analytics Data Management Machine Learning Operations Tools for Reporting DODAF Data Pipelines Amazon Redshift Programming Languages

Job description

Leidos is seeking a Senior Digital Modeling & Simulation Engineer to support the U.S. Coast Guard (USCG) CG-TECH-TRT/DME (Technical Readiness Transformation) (Digitial Modeling and Engineering ) organization in advancing enterprise digital transformation, digital engineering, and automation initiatives aligned to the Coast Guard Digital Transformation Strategy and Force Design 2028.

The successful candidate will support enterprise-level digital modeling, mission engineering, systems analysis, and simulation activities to enable data-driven decision making, operational modernization, and future-state capability planning across Coast Guard mission and support functions. This role will work closely with Coast Guard stakeholders, enterprise architects, systems engineers, business process teams, data analysts, and program leadership to develop modeling approaches, evaluate tools and platforms, and support implementation planning for digital engineering capabilities within the CGOne environment.

This position requires strong analytical, technical, and stakeholder engagement skills, with the ability to translate operational requirements into scalable digital models, simulation frameworks, and engineering recommendations supporting enterprise modernization efforts.

Primary Responsibilities

  • Support development and execution of Digital Transformation and Digital Engineering implementation plans for CG-TECH-TRT/DME.
  • Develop and maintain mission, process, operational, and system models supporting Coast Guard transformation initiatives.
  • Conduct modeling and simulation analyses to support operational planning, capability assessments, and modernization initiatives.
  • Support evaluation and selection of digital engineering, modeling, and simulation tools and platforms suitable for the CGOne environment.
  • Assist in development of enterprise architecture artifacts, system interaction models, digital workflows, and mission thread analyses.
  • Collaborate with business analysts and process improvement teams to translate operational workflows into simulation and modeling use cases.
  • Support feasibility assessments, pilot planning, and proof-of-concept activities for digital transformation initiatives.
  • Develop dashboards, performance metrics, and analytical products supporting program governance and executive decision making.
  • Support stakeholder engagement sessions, workshops, technical exchanges, and executive briefings with Coast Guard leadership.
  • Contribute to automation portfolio planning, digital transformation governance, and continuous improvement initiatives.
  • Maintain documentation repositories, technical artifacts, modeling standards, and lessons learned.
  • Coordinate with cybersecurity, cloud, data, and engineering teams to ensure solutions align with enterprise architecture and security requirements., Amazon Redshift Data Integration Data Warehousing Agile Methodology Data Architecture Cloud Technologies Systems Engineering Systems Integration Business Operations Amazon Web Services Reporting Solutions Relational Databases Alation Data Catalog Artificial Intelligence Extended Reach Drilling SQL (Programming Language) Critical Illness Insurance Document-Oriented Databases Scrum (Software Development) SQL Server Analysis Services Continuous Improvement Process +0 Data Scientist Actalent Sterling Heights, MI*Remote JIRA MATLAB, Remote Big Data Dashboard Innovation Algorithms Statistics Data Science Communication Data Analysis Data Modeling Apache Hadoop Customer Service Computer Science Machine Learning Solutions Focused Data Visualization Predictive Modeling Product Improvement Advanced Mathematics Programming Languages Business Intelligence Prototype Development Artificial Intelligence R (Programming Language) Authorization (Computing) Exploratory Data Analysis Employee Assistance Programs Python (Programming Language) Tableau (Business Intelligence Software)

Requirements

Planning Equities Dashboard Leadership Automation Governance Scalability Market Data Data Science Data Analysis Cyber Security Ancient History Business Process Computer Science Machine Learning Business Metrics Computer Graphics Performance Metric Workflow Management Process Improvement Systems Engineering Systems Integration Operations Research Operational Planning Operational Analysis Capability Assessment Stakeholder Engagement Digital Transformation Artificial Intelligence Enterprise Architecture Systems Modeling Language Data-Driven Decision Making Continuous Improvement Process Model Based Systems Engineering Digital Modeling And Fabrication Business Process Model And Notation

Salesforce Admin, * Bachelor’s degree in Systems Engineering, Engineering, Operations Research, Computer Science, Modeling & Simulation, Data Science, or related field and BS degree with 12-15 years , 10-13yrs with a Masters, Additional experience may be considered in lieu of degree.

  • Experience supporting federal government, DHS or Coast Guard programs.
  • Experience with digital engineering, systems modeling, operational analysis, or simulation environments.
  • Experience developing enterprise architecture artifacts, process models, mission models, or systems integration documentation.
  • Strong understanding of systems engineering lifecycle methodologies and digital transformation principles.
  • Experience facilitating stakeholder engagements and translating mission requirements into technical solutions.
  • Ability to communicate technical concepts to both technical and non-technical audiences.
  • U.S. Citizenship required.
  • Ability to obtain and maintain a DHS Public Trust.

Preferred Qualifications

  • Experience supporting U.S. Coast Guard mission systems or DHS enterprise initiatives.
  • Experience with MBSE tools such as Cameo, MagicDraw, Sparx EA, or similar platforms.
  • Experience with modeling frameworks such as DoDAF, UAF, SysML, BPMN, or UML.
  • Experience supporting cloud-enabled digital engineering environments.
  • Knowledge of automation technologies, AI/ML integration, or data analytics platforms.

If you’re looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We’re not hiring followers. We’re recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We’re already at step 30 - and moving faster than anyone else dares., Sterling Heights, MI*Remote JIRA MATLAB Mathcad Planning Power BI Big Data Simulink Metadata Visionary Leadership Innovation Scalability Reliability Data Quality Communication Data Modeling Collaboration Apache Hadoop Schema Markup Data Integrity Data Pipelines Detail Oriented Problem Solving Data Structures Data Governance, Power BI Simulink Dashboard Visionary Leadership Governance Innovation Statistics Mathematics Scalability Reliability Probability Data Storage Data Modeling Data Strategy Data Integrity Data Pipelines Detail Oriented Problem Solving Quality Control Data Governance Data Management Data Validation Vehicle Systems Amazon Redshift Data Warehousing Data Engineering Agile Methodology Analytical Skills Data Architecture Advanced Analytics Cloud Technologies Amazon Web Services Data Infrastructure Data Transformation Alation Data Catalog Mathematical Modeling Artificial Intelligence SQL (Programming Language) Critical Illness Insurance Verbal Communication Skills Data-Driven Decision Making Business Intelligence Tools Extract Transform Load (ETL) Scrum (Software Development) SQL Server Analysis Services Continuous Improvement Process Troubleshooting (Problem Solving) Application Programming Interface (API) +0

Benefits & conditions

Pay and benefits are fundamental to any career decision. That’s why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits .

About the company

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com .

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