Data Scientist - Washington, DC, United States - Data Machines

Description

Data Scientist -Hybrid R Location: Washington, DC,

Metro Area 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.