Data Scientist 3

We are seeking a Data Scientist with AI/ML experience to impact and assess large datasets. This will include data modeling, computational mathematics, qualitative and quantitative techniques, data visualizations, and AI/ML model development and deployment. You must have experience with advanced statistical and predictive modeling.

Responsibilities

Provide high-end analytics and data science services within the realm of cybersecurity; support a team of Data Scientists, Cryptologic Computer Scientists, Cryptanalytic Computer Scientists, Cryptologic Cyber Planners, Intrusion Analysts, Protocol Analysts, Signals Analysts and Reverse Engineers; impact and assess large datasets; perform data modeling, computational mathematics, qualitative and quantitative techniques, data visualizations, and AI/ML model development and deployment; use advanced statistical and predictive modeling; develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure; translate practical mission needs and analytic questions related to large datasets into technical requirements; effectively communicate complex technical information to non-technical audiences.

Requirements

AI/ML experience; experience with advanced statistical and predictive modeling; Bachelor’s Degree with 10 years of relevant experience; associate’s degree with 12 years of experience may be considered for individuals with in-depth experience that is clearly related to the position; Bachelor’s Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, Computer Science, or a related field (Computer Information Systems, Engineering), physical/hard sciences, or other science disciplines with a substantial computational component if it included a concentration of coursework (5 or more courses) in advanced Mathematics and/or computer science; broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university; relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high level language e.g. Python), statistical analysis, data management, data mining, data modeling and assessment, artificial intelligence, and/or software engineering; position requires active Security Clearance with appropriate Polygraph; capabilities include Foundations (Mathematical, Computational, Statistical), Data Processing (data management and curation, data description and visualization, workflow and reproducibility), Modeling, Inference, and Prediction (data modeling and assessment, domain-specific considerations); ability to make and communicate principal conclusions from data; ability to use analytic modeling, statistical analysis, programming, and/or other appropriate scientific method to develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets; translate practical mission needs and analytic questions related to large datasets into technical requirements; effectively communicate complex technical information to non-technical audiences.

Benefits

Medical: three rich healthcare options through CareFirst with 100% or majority company-paid premiums; tax-advantaged health savings account available with generous employer contribution; Dental + Vision: 100% employer-paid for employees and family with buy-up option; 401K – 10% total contribution – 5% safe harbor – 5% annual profit share (both immediately vested); 4 weeks starting PTO; 11 federal holidays + 2 floating holidays; paid hours for company-required training; access to FREE 24/7 learning via Udemy; opportunities to participate in tech councils and industry initiatives; $7,500 annual Educational & Professional Development Assistance; paid parental leave; annual swag drops; flexible work schedules; generous referral bonus program; employee appreciation + family-friendly corporate events; paid training and mentoring.