Cathexis

Cathexis

Senior Data Scientist/Machine Learning Engineer - TS/SCI with Po

Tysons, Virginia · Senior

No sponsorship$150k-$190kDetected 15 days ago
TypeScriptAlgorithmsAWSGCPAzureMachine LearningDeep LearningData AnalysisData ScienceNLPComputer VisionLLMsStatisticsProject ManagementRecruitingElectrical EngineeringResearchCommunicationProblem Solving

About the role

  • Description Team CATHEXIS elevates the government contracting experience through rapid response, deep skill, and thoughtful problem-solving and communication.
  • Our core capabilities are our top-tier program and project management, data analytics, and audit services, the backbone of which is our integrated approach to operational excellence.
  • You worked hard to get to where you are.

Responsibilities

  • Contribute to the design and implementation of new features.

Requirements

  • Bachelor's degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields required.
  • Experience with scalable ML (MapReduce, streaming).
  • The ability to work on multiple concurrent projects is essential.
  • Strong self -motivation and the ability to work with minimal supervision.
  • Must be a team-oriented individual, energetic, result & delivery oriented, with a keen interest on quality and the ability to meet deadlines.
  • Ability to work in an agile environment.

Nice to have

  • MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields preferred.
  • Minimum 5-10 years relevant work experience preferred.

Compensation

  • The annual salary range for this role is $150,000- $190,000.
  • Please note that the salary information provided is a general guideline.

Benefits

  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • Life Insurance (Basic, Voluntary & AD&D)
  • Parental Leave
  • Commute Benefits
  • Short Term & Long Term Disability
  • Wellness Program

Company info

  • Assist and enable federal customers to build their own applications.

This listing is sourced directly from Cathexis's careers page and normalized into a canonical job model.