Data Scientist with Security Clearance

Data Machines; Reston (VA); On-site; USD 90,000 - 150,000; Full time

Job summary

Data Machines seeks a data scientist for its Reston, VA office with a three-day-a-week onsite requirement. You will apply statistical analysis, data mining, and AI to derive value from data, supporting federal government, defense, and commercial sponsors.

The role emphasizes building data-driven solutions, models, and visualizations, while communicating analytical techniques and maintaining up-to-date ML knowledge for complex projects.

Qualifications

• Four years of relevant experience in applied research, big data analytics, statistics, data science, or related field.
• BS in software engineering or at least 4 years of experience managing data science projects.
• At least two years of direct experience in machine learning with data mining, databases, data visualization.

Responsibilities

• Apply expert knowledge in statistical analysis, data mining, and AI to produce actionable insights for defense/intelligence programs.
• Design and implement data-driven solutions, models, and visualizations; develop simulations and descriptive/predictive analytics.
• Identify trends through complex big data analysis and stay current with emerging ML tools and techniques.

Skills

Statistical analysis

Machine learning

Data mining

Data visualization

Communication of analysis

Education

Advanced degree in Statistics/Applied Mathematics/Data Science/CS/OR

Bachelor's degree in Software Engineering

Tools

Docker

Kubernetes

OpenStack

Job description

Location: On-site in Reston, VA Salary Range: $90,000-$150,000

Job Description: Come join the future of data-driven decision making! At Data Machines we leverage data analytics, DevSecOps, machine intelligence, and data science to engineer solutions for our Federal government, defense, and commercial sponsors to solve real-world, critical mission problems. This position will be based out of our Reston, VA office with a 3 day a week onsite requirement.

Responsibilities:

Data Machines seeks an energetic data scientist with the desire to work with a tightly-knit team supporting the development and production of cutting-edge defense and intelligence capabilities. The ideal candidate will apply expert knowledge in statistical analysis, complex data mining, and artificial intelligence to make value out of data. They will provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. The candidate will design and implement data-driven solutions, with specific focus on advanced analytical methods, data models, and visualizations. The ideal candidate will develop quantitative simulations and models to provide descriptive and predictive analytics solution recommendations. Finally, they will identify trends and problems through complex big data analysis and will maintain current in emerging tools and techniques in machine learning, statistical modeling, and analytics.

Minimum Qualifications:

• * Four (4) years of relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related field
• BS in software Engineering or at least 4 years of experience managing data science projects
• At least three (2) years of direct experience in machine learning Demonstrates knowledge of data mining methods, databases, data visualization and machine learning
• Ability to communicate analysis techniques, concepts, and products
• Ability to develop data-driven solutions, data models, and visualizations Data Bricks Certification
• Must be able to pass a background check and a drug screen

Education:

* Advanced Degree (MS or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related quantitative or mathematical discipline

• Experience with open-source cloud tools (e.g. Docker, Kubernetes, OpenStack)
• Experience with public cloud (e.g. AWS, Azure) security
• Software Development Experience (any language)
• Ability to obtain a Secret clearance.