Data Scientist

CACIDenver, CO
Onsite

About The Position

The Fusion Analysis & Development Effort (FADE) team is seeking a Data Scientist capable of understanding, developing, deploying and maintaining algorithms that merge multiple data feeds into a fused track product at our Denver, CO location. You will work alongside other engineers to support a complex and ever-changing system with a fast-growing user base. You will contribute your ideas, design and implement new capabilities, resolve operational issues, and work directly with a variety of team members and end users to ensure the algorithms meet user needs.

Requirements

  • TS/SCI clearance and poly preferred
  • 5+ years of experience working as a software engineer or in a related field
  • Bachelor’s degree in engineering, physics, computer science, etc.
  • Strong analytical and critical thinking skills.
  • The attitude, aptitude and willingness to learn current technologies and improve upon them
  • Working knowledge of Python, calculus, and vector mathematics
  • Experience with quantitative data analytics to include multi-dimensional error analysis, clustering, outlier detection, and state and parameter estimation (Kalman filtering)

Nice To Haves

  • Unique knowledge and experience you bring to the team
  • Strong communication and collaboration skills
  • The ability to effectively prioritize and execute tasks, and escalate issues and roadblocks
  • Self-motivation to dig into a complex algorithm, make changes, and measure/demonstrate improvements
  • Eagerness to learn, promote, and mentor best practices

Responsibilities

  • Understand, develop, deploy and maintain algorithms that merge multiple data feeds into a fused track product.
  • Support a complex and ever-changing system with a fast-growing user base.
  • Contribute ideas, design and implement new capabilities.
  • Resolve operational issues.
  • Work directly with a variety of team members and end users to ensure the algorithms meet user needs.

Benefits

  • flexible time off benefit
  • robust learning resources
  • comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
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