Data Scientist (Senior)

Cintel Inc•Arlington, VA

About The Position

Cintel, Inc. is seeking a Senior Data Scientist to support complex scientific and technical efforts using data science, statistics, modeling, and computational methods. The work emphasizes scientific problem-solving, research, modeling, and experimentation rather than traditional data visualization and business analytics. The role is located in the National Capital Region and is full-time. The scientist will analyze complex datasets, develop and validate models and algorithms, and support modeling, simulation, and research activities. They will collaborate with technical colleagues, document methods and findings, and provide guidance and mentorship to junior team members. Cintel describes its team as self-organized and trusted to develop solutions to ill-defined problems, and values problem-solving, motivation, learning, and collaboration. Cintel, Inc. is a small business providing services to government clients in areas including software development, energy, cybersecurity, modeling and simulation, data science, and programmatic support. The company states that it provides equal employment opportunity without discrimination across protected characteristics and terms and conditions of employment.

Requirements

  • Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, a physical science, or a related field.
  • 10+ years of relevant professional experience.
  • Strong background in data science, statistics, scientific computing, modeling, or a related technical discipline.
  • Experience with Python, R, MATLAB, or similar programming and data science tools.
  • Strong analytical, technical, and problem-solving skills.
  • Ability to work independently and collaborate effectively within a technical team.
  • Active Top Secret security clearance.

Responsibilities

  • Apply data science, statistical, and computational methods to complex scientific and technical problems.
  • Develop and validate statistical, predictive, and scientific models.
  • Analyze complex datasets to support research, experimentation, and technical decision-making.
  • Support modeling and simulation efforts and scientific research activities.
  • Develop data-driven methodologies and algorithms to address technical challenges.
  • Collaborate with scientists, engineers, analysts, and other technical personnel.
  • Document technical approaches, methodologies, findings, and results.
  • Provide technical guidance and mentorship to junior team members.
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