Data Scientist at Data Machines

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.

Requirements

Must-haves

Location: On-site in Reston, VA
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
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.

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

machine learningdockerkubernetesawsazure

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