DATA SCIENTIST

EOA Technologies LLC • Fort Meade, MD

1d

About The Position

EOA Technologies is seeking a Data Scientist to develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets. Will builds models/develops experiments to generate data when training or sample data sets are unavailable. Prototypes algorithms within production frameworks for integration into analyst workflows. In this role you will get to support key activities in defense of emerging threats in the cybersecurity domain. You will work directly with our software engineering and threat analyst teams to model complex data in an environment comprised of many databases and varying technology stacks.

Requirements

• Possess an active TS/SCI with Polygraph security clearance
• Must have a Bachelor of Science Degree in a quantitative discipline such as statistics, mathematics, or a Computer Science degree. Master’s Degree or Doctoral Degree may be substituted for some experience.
• Seven plus (7+) years’ experience in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software (R, Python, SAS, MATLAB).
• Experience with Windows server management and Power BI Report Service.
• Proficiency with Python/Jupyter Notebooks, SQL and relational databases, ElasticSearch/Kibana/OpenSearch.
• Background working with analyst teams including conducting data analysis and creating data visualizations.
• Experience working within a cybersecurity mission environment using tools and capabilities to generate threat intelligence. This includes working with cybersecurity analyst teams to perform data analysis and a deep understanding of adversary tradecraft.

Nice To Haves

• Experience with Java is also a plus.
• Experience with graph analytics, data pipelines, and IP-based network data is a plus, but not required.

Responsibilities

• Develop statistical, and graph-based algorithms to analyze and make sense of data sets.
• Clean and structure disparate data received from a globally dispersed customer base.
• Provide insight into dataset structures and produce data visualizations that are consumable by both technical an non-technical audiences.
• Translate mission customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes.
• Develop and implement statistical, and machine learning techniques to create descriptive and predictive analytics.
• Evaluate and validate the performance of analytics using standard techniques and metrics and oversee development of individual analytic development efforts guiding them toward solutions that can scale to large datasets.
• Work in close partnership with subject matter experts, software engineers, and cloud developers to guide the formulation of analytics to production.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior