Data Scientist

CTC Group; Fort Meade (MD); On-site; USD 120,000 - 180,000; Full time

Job summary

CTC Group is seeking Data Scientists for a contingent program supporting advanced analytics and mission-critical cybersecurity capabilities. You will develop machine learning models, analyze complex datasets, and create innovative analytical solutions that help Government customers make data-driven decisions.

You will collaborate with technical teams and subject matter experts to transform large volumes of data into actionable insights, automate analytical processes, and integrate new

Qualifications

• Bachelor's degree in Statistics, Mathematics, Operations Research, Engineering, or Computer Science from an accredited college or university.
• Experience programming with data analysis tools such as Python, R, SAS, or MATLAB.

Responsibilities

• Develop and implement machine learning, data mining, statistical, and graph-based algorithms to analyze complex datasets.
• Design and build analytical models that identify patterns, trends, and meaningful insights from large volumes of data.
• Collaborate with subject matter experts to translate analytical requirements into technical solutions.
• Develop scripts and tools to extract, process, and analyze data from SQL databases, structured metadata, and network logs.
• Create data visualizations, reports, and analytical products that communicate findings and support informed decision-making.
• Apply statistical analysis techniques to evaluate data, test hypotheses, and develop actionable recommendations.
• Develop and test software prototypes to evaluate analytical approaches and identify effective solutions.
• Translate customer requirements into automated workflows and scalable solutions.
• Evaluate and refine analytical models to improve accuracy, performance, and effectiveness.
• Collaborate with software engineers, cloud developers, and other technical teams to integrate analytical capabilities into operational systems.
• For Level 2 positions, develop and train machine learning models and evaluate performance using cross-validation, ROC curves, and confusion matrices.
• For Level 2 positions, design experiments, optimize algorithms, and develop scalable analytical solutions.

Skills

Python/R/SAS/MATLAB

SQL

Education

Bachelor's degree in Statistics/Math/OR/Engineering/CS

Tools

SQL

Job description

Summary

CTC Group is seeking Data Scientists, for a contingent program supporting advanced analytics and mission-critical cybersecurity capabilities. In this role, you will develop machine learning models, analyze complex datasets, and create innovative analytical solutions that help Government customers make data-driven decisions. You will collaborate with technical teams and subject matter experts to transform large volumes of data into actionable insights, automate analytical processes, and integrate new capabilities into operational environments.

Locations: Annapolis Junction / Ft. Meade

Responsibilities

• Develop and implement machine learning, data mining, statistical, and graph-based algorithms to analyze complex datasets
• Design and build analytical models that identify patterns, trends, and meaningful insights from large volumes of data
• Collaborate with subject matter experts to identify valuable information within raw data and translate analytical requirements into technical solutions
• Develop scripts and tools to extract, process, and analyze data from sources such as SQL databases, structured metadata, and network logs
• Create data visualizations, reports, and analytical products that communicate findings and support informed decision-making
• Apply statistical analysis techniques to evaluate data, test hypotheses, and develop actionable recommendations
• Develop and test software prototypes to evaluate analytical approaches and identify effective solutions
• Translate customer requirements and manual analytical processes into automated workflows and scalable solutions
• Evaluate and refine analytical models to improve accuracy, performance, and effectiveness
• Collaborate with software engineers, cloud developers, and other technical teams to integrate analytical capabilities into operational systems
• For Level 2 positions, develop and train machine learning models to support mission automation and advanced analytical capabilities
• For Level 2 positions, evaluate model performance using techniques such as cross-validation, ROC curves, and confusion matrices
• For Level 2 positions, design experiments, optimize algorithms, and develop analytical solutions capable of scaling to large datasets

Requirements

• Active TS/SCI with polygraph security clearance
• Bachelor's degree in a relevant discipline such as Statistics, Mathematics, Operations Research, Engineering, or Computer Science from an accredited college or university
  • Additional relevant experience may be substituted for a bachelor's degree as outlined below
• Experience programming with data analysis tools such as Python, R, SAS, or MATLAB

Level 1 Qualifications

• Eight (8) years experience with a HS Diploma/GED, or
• Four (4) years experience with a Bachelor's degree, or
• Two (2) years experience with a Master's degree

Level 2 Qualifications

• Twelve (12) years experience with a HS Diploma/GED, or
• Eight (8) years experience with a Bachelor's degree, or
• Six (6) years experience with a Master's degree, or
• Four (4) years experience with a PhD/Doctorate

Why CTC Group?

We recognize that successful partnerships are based on open and direct communication, mutual respect, and the ability to adapt to evolving capabilities. Our cleared employees bring decades of experience supporting customers in the Intelligence and Defense communities. We specialize in providing engineering, technical, operational support, and training services to Federal government, and Mission Operations.

CTC Group provides a comprehensive benefits package that includes, but is not limited to, Health/Dental/Vision, 401k, PTO and holiday pay, disability and life insurance.

CTC Group provides equal employment opportunities to all employees and applicants without regard to race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, physical disability, genetic information, mental disability, age, military status or status as a Vietnam-era or special disabled veteran, marital status, registered domestic partner status, gender (including sex stereotyping), medical condition (including, but not limited to, cancer related or HIV/AIDS related) or sexual orientation in accordance with applicable federal and state laws. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.