Data Scientist (Senior)

Cintel Inc • Arlington, VA

10d

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 role emphasizes scientific problem-solving, research, modeling, and experimentation rather than traditional data visualization and business analytics. The position is located in the National Capital Region and is full-time.

The successful candidate will apply scientific and technical expertise to complex problems, develop and validate models, analyze datasets, and support research and simulation activities. The role also involves developing data-driven methodologies, collaborating with technical colleagues, documenting work, and providing guidance to junior team members. Candidates must have an active Top Secret security clearance and at least 10 years of relevant professional experience.

Cintel describes its technical staff as motivated, self-organized problem-solvers who can develop solutions for ill-defined problems, work independently, collaborate, and remain eager to learn. Cintel is a small business serving government clients in areas including software development, energy, cybersecurity, modeling and simulation, data science, and programmatic support. The company emphasizes people, connectivity, communication, and teamwork, and states its commitment to equal employment opportunity.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior