We’re searching for talented individuals who provide intelligence, statistical analysis and programming expertise for the Government. This program will maximize the effectiveness and efficiency of our country’s most important missions both at home and abroad. If you are ready to support a high-performing team that truly makes a difference, then come join us!
Job Description:
We are seeking a Data Scientist to play an integral role in developing an ML ops framework for cyber incident detection. This high-visibility project aims to revolutionize cyber hunting and offers a multifaceted role that will allow you to strengthen and broaden your skills in data engineering, machine learning, and cyber threat hunting and penetration testing. Join us to be at the forefront of innovative cybersecurity solutions.
The Level 3 Data Scientist shall possess the following capabilities:
- Employ some combination of the following skill areas:
- 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)
Qualifications:
- Master’s Degree with 8 years of relevant experience
- Bachelor’s Degree with 10 years of relevant experience
- Associates 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). College-level requirement or upper-level math courses designated as elementary or basic do not count. 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)), 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. Experience in more than one area is strongly preferred.
Position requires active Security Clearance with appropriate Polygraph.
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