Data Scientist

ManTech; Miami (FL); On-site; USD 90,000 - 130,000; Full time

Job summary

ManTech in Doral, FL is seeking a motivated Data Scientist to join our team. You will extract, clean, and synthesize large datasets, design and deploy ML models, and collaborate with data engineers and stakeholders to translate operations into data-driven solutions.

You will develop interactive dashboards, evaluate models, and maintain technical documentation. A strong background in Python or R, SQL, and experience with cloud analytics and MLOps is preferred. Must hold a current secret clearance.

Qualifications

• Bachelor’s degree with 3+ years in advanced analytics or data science.
• Experience building and deploying ML models using Python or R and strong SQL skills.
• Ability to document methodologies and communicate findings clearly.

Responsibilities

• Extract, clean, and synthesize large datasets to derive actionable insights.
• Design, train, and deploy ML models to address operational challenges.
• Collaborate with cross-functional teams to translate needs into data-driven solutions.
• Develop interactive visualizations and dashboards to communicate findings.
• Maintain documentation and governance for code and baselines.

Skills

Python

R

SQL

Data visualization

Statistical analysis

Machine learning

Education

Bachelor's degree in data science/CS/Statistics/Mathematics

Master's degree in related field

PhD in related field

Associate's degree with 5+ years experience

High school diploma with 7+ years experience

Tools

SQL databases

Cloud platforms (AWS/Azure)

Containerization tools

Job description

MANTECH seeks a motivated, career and customer-oriented Data Scientist to join our team in Doral, FL.

Responsibilities Include But Are Not Limited To

• Extracting, cleaning, and synthesizing large, complex structured and unstructured datasets to derive actionable insights.
• Designing, training, and deploying advanced statistical models and machine learning algorithms to solve operational challenges.
• Collaborating with cross-functional technical teams, data engineers, and stakeholders to translate operational needs into data-driven solutions.
• Developing interactive data visualization tools and dashboards to communicate complex analytical findings to decision-makers.
• Conducting model evaluation, baseline testing, and continuous optimization across enterprise data environments.
• Maintaining technical documentation, code repositories, and analytical baselines to support system governance.

Minimum Qualifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field with 3+ years of experience in advanced analytics or data science roles.
  • OR a master’s degree and 1+ or more years of relevant experience
  • OR a PhD and 1+ or more years of relevant experience
  • OR an associate’s degree and 5+ or more years of relevant experience
  • OR a high school diploma and 7+ or more years of relevant experience
• Proven experience building and deploying machine learning models using modern programming languages such as Python or R. Strong background in database management, data mining, and writing complex SQL queries across relational and non-relational databases.
• Experience creating, maintaining, and communicating complex technical documentation and data science methodologies. Demonstrated expertise in statistical analysis, predictive modeling, and data visualization tools.

Preferred Qualifications

• Relevant industry certifications (e.g., AWS Certified Machine Learning Specialist, Azure Data Scientist Associate).
• Prior experience supporting U.S. Military Command operations or Department of Defense enterprise data environments.
• Experience with cloud analytics platforms, containerization tools, and MLOps workflows.
• Familiarity with natural language processing (NLP), computer vision, or automated workflow orchestration platforms.

Clearance Requirements

• Must hold a current/active secret security clearance.

Physical Requirements

• Must be able to remain in a stationary position 50%.
• Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
• Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations