Data Scientist 3

We are seeking a Data Scientist proficient in Python and experienced in automating workflows, data manipulation, and visualization using Jupyter Notebooks. This role involves leveraging Python expertise to streamline processes and create insightful visualizations for data-driven decision-making.

The Level 3 Data Scientist shall possess the following capabilities:

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 using elements of mathematics, statistics, computer science, and applications-specific knowledge.
Ability to 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 Government 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.

Responsibilities

Support a team of Data Scientists, Cryptologic Computer Scientists, Cryptanalytic Computer Scientists, Cryptologic Cyber Planners, Intrusion Analysts, Protocol Analysts, Signals Analysts and Reverse Engineers; Contribute to improving, protecting, and defending the Nation’s Security; Leverage Python expertise to streamline processes and create insightful visualizations for data-driven decision-making

Requirements

Proficient in Python; Experienced in automating workflows, data manipulation, and visualization using Jupyter Notebooks; Bachelor’s Degree with 10 years of relevant experience, or associate’s degree with 12 years of experience with in-depth related experience; Bachelor’s Degree in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, Computer Science, or a related field; Relevant experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming, statistical analysis, data management, data mining, data modeling and assessment, artificial intelligence, and/or software engineering; Active Security Clearance with appropriate Polygraph; 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 another appropriate scientific method to characterize, explore, and assess large datasets; Translate practical mission needs and analytic questions into technical requirements; Effectively communicate complex technical information to non-technical audiences

Nice to have

Certificate in Data Science from an accredited college/university

Benefits

Medical: Three healthcare options through CareFirst with 100% or majority company-paid premiums; Tax-advantaged health savings account with generous employer contribution; Dental and Vision: 100% employer-paid for employees and family with a buy-up option; 401K: 10% total contribution (5% safe harbor + 5% annual profit share); 4 weeks starting PTO; 11 federal holidays + 2 floating holidays; Paid hours for company-required training; Free 24/7 learning via Udemy; $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