- Escritório em Tampa
Description
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.
Key Responsibilities
- Communicate regularly with client leadership regarding enterprise values, project direction, and mission objectives.
- Identify the intersection between strategic business value and achievable technical work within the logistics domain.
- Articulate and translate complex business questions into technical solutions using available DoD data sources.
- Explore and analyze diverse datasets 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.
- Develop applications and effective data visualizations to communicate complex insights to non-technical stakeholders.
- Serve as a technical ambassador for executive DoD leadership to sponsor and grow data literacy across the enterprise.
Required Experience/Clearance
- An active Secret security clearance is required.
- 8+ years of professional experience in data science, analytics, or a related technical field.
- 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 database languages, specifically SQL.
- Demonstrated ability to discern and apply appropriate statistical approaches for different mission contexts.
- Proven experience communicating key findings through technical visualizations and briefings.
- 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
- Ph.D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering, etc.).
- 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 custom D3.js).
- Familiarity with DoD logistics data or USCENTCOM mission sets.