leverOfficial ATS boardOnsiteSeniority not statedFull-Time
Data Scientist
Tampa, FL
Job description
About the Organization
Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We’re looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets.
About the Role
Redhorse transforms the way government uses data and technology. To support this mission, we are seeking a Senior Data Scientist to support the United States Central Command (USCENTCOM) Directorate of Logistics (CCJ4) at MacDill AFB. In this role, you will play a critical part in accelerating AI-enabled capabilities for the Joint Logistics Enterprise. You will help modernize the Joint Logistics Common Operating Picture (JLOGCOP) by integrating AI/ML capabilities into dozens of automated and manual DoD data feeds. Your work will directly increase the speed of planning and enhance decision-making for missions that promote regional cooperation and deter aggression across the USCENTCOM area of responsibility.
Redhorse transforms the way government uses data and technology. To support this mission, we are seeking a Senior Data Scientist to support the United States Central Command (USCENTCOM) Directorate of Logistics (CCJ4) at MacDill AFB. In this role, you will play a critical part in accelerating AI-enabled capabilities for the Joint Logistics Enterprise. You will help modernize the Joint Logistics Common Operating Picture (JLOGCOP) by integrating AI/ML capabilities into dozens of automated and manual DoD data feeds. Your work will directly increase the speed of planning and enhance decision-making for missions that promote regional cooperation and deter aggression across the USCENTCOM area of responsibility.
The salary range provided for this position represents the anticipated base salary for successful candidates. Actual compensation will be determined based on a variety of factors, including relevant experience, education, certifications, skills, security clearance level, geographic location, market conditions, and internal equity. In addition to base salary, eligible employees may participate in Redhorse's comprehensive benefits programs and may be eligible for performance-based or other incentive compensation, where applicable.
Redhorse Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected class.
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting Talent Acquisition at Talent-Acquisition@redhorsecorp.com
Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs. This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.
An active Secret security clearance is required (TS/SCI eligibility preferred).
8+ years of professional experience in data science, analytics, or Operations Research.
Master’s degree from an accredited college or university in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering, or related STEM field).
Proficiency in functional programming languages such as Python, R, or Scala.
Strong experience with Modeling & Simulation (M&S) frameworks (e.g., AFSIM, EADSIM, STORM, or similar mission-level tools).
Strong experience with database languages, specifically SQL.
Demonstrated ability to discern and apply appropriate statistical and probabilistic modeling approaches for different mission contexts.
Proven experience communicating key findings through technical visualizations, simulated course-of-action briefings, and technical reports.
Ability to work independently to recommend solutions while collaborating effectively within a cross-functional team.
Ability to travel up to 10% as required by the mission.
Desired Experience
About the Organization
Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We’re looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets.
About the Role
Redhorse transforms the way government uses data and technology. To support this mission, we are seeking a Senior Data Scientist to support the United States Central Command (USCENTCOM) Directorate of Logistics (CCJ4) at MacDill AFB. In this role, you will play a critical part in accelerating AI-enabled capabilities for the Joint Logistics Enterprise. You will help modernize the Joint Logistics Common Operating Picture (JLOGCOP) by integrating AI/ML capabilities into dozens of automated and manual DoD data feeds. Your work will directly increase the speed of planning and enhance decision-making for missions that promote regional cooperation and deter aggression across the USCENTCOM area of responsibility.
The salary range provided for this position represents the anticipated base salary for successful candidates. Actual compensation will be determined based on a variety of factors, including relevant experience, education, certifications, skills, security clearance level, geographic location, market conditions, and internal equity. In addition to base salary, eligible employees may participate in Redhorse's comprehensive benefits programs and may be eligible for performance-based or other incentive compensation, where applicable.
Redhorse Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected class.
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting Talent Acquisition at Talent-Acquisition@redhorsecorp.com
Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs. This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.
Key Responsibilities
- Communicate regularly with client leadership regarding enterprise values, project direction, and mission objectives.
- Identify the intersection between strategic business value, simulation-based forecasting, and achievable technical work within the logistics domain.
- Articulate and translate complex business questions into technical solutions using available DoD data sources and mission-level modeling outputs.
- Explore and analyze diverse datasets—including live telemetry and simulated environments—to identify meaningful entities, relationships, and trends.
- Design and implement robust data ingestion and cleaning pipelines to ensure high-quality inputs for AI/ML models and stochastic simulations.
- Develop applications, simulation dashboards, and effective data visualizations to communicate complex insights and scenario outcomes to non-technical stakeholders.
- Serve as a technical ambassador for executive DoD leadership to sponsor and grow data literacy and modeling proficiency across the enterprise.
- Ph.D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering, etc.).
- Experience integrating simulation data into enterprise-level platforms (e.g., Advana, MAVEN, or C2IE).
- Experience developing within cloud-based platforms (e.g., AWS, Azure, or GovCloud).
- Experience with large-scale data processing tools and distributed computing frameworks (e.g., Spark, Databricks).
- Advanced experience with data visualization tools (e.g., Tableau, PowerBI, or R/Shiny).
- Familiarity with DoD logistics data, USCENTCOM mission sets, and Joint Staff modeling requirements.
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