Principal Data Scientist

About the role

The Principal Data Scientist will work on complex, interdisciplinary projects in the Fort Meade, MD vicinity. The role requires a strong background in mathematics, statistics, and computational skills, along with experience in data science and machine learning.

Responsibilities

• Devise strategies for extracting meaning and value from large datasets.
• Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge.
• 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 and assist others in drawing appropriate conclusions from the analysis of such data.
• Effectively communicate complex technical information to non-technical audiences.
• Made informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting NSA/CSS collection, processing, storage and analytic capabilities and limitations.

Requirements

• TS/SCI clearance with a polygraph

Qualifications

• A Bachelor’s degree and 15 years of relevant experience. An Associate’s degree plus 17 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
• Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, social, and life) may be considered if it includes a concentration of coursework (typically 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).
• Note: A 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) and skill in at least one mid-level language (e.g. C)), data mining, advanced statistical analysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity analysis), experience as a data scientist working to support a single or multiple domain areas, ability to quickly acquire needed expertise on a new domain area, and/or software engineering.
• Experience in more than five areas is strongly preferred.

Skills

• 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

Benefits

• Competitive health, dental, and vision plans with 100% paid premiums.
• 401k: We contribute 6% even if you don't!
• Time Off: 11 standard holidays, and 25 days of PTO
• Career Development: Get career counseling and individualized career development plans, including education and training.
• Employee referral bonuses for successful hires

Pay

Salary is competitive and commensurate with experience.

Schedule

Full-time position.