Data Scientist 3

• Provide advanced discovery support utilizing machine learning, analytical prototyping, scripting, automation, digital visualization, statistical analysis, and TechSIGINT tools
• Be adaptable to new tools and technologies
• Make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge
• Use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique feature and limitations inherent in Customer data holdings
• Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data
• Effectively communicate complex technical information to non-technical audiences

• Bachelor’s Degree with 10 years of relevant experience
• Associate’s Degree with 12 years of relevant experience
• Bachelor’s Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence)
• 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 (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering
• Position requires active Security Clearance with appropriate Polygraph

Prior experience as an analyst, targeteer, or discovery analyst is ideal

• Medical: Three (3) 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 a buy-up option available
• 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, industry initiatives, etc.
• $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