DATA SCIENTIST at EOA Technologies LLC

Fort Meade, Maryland, United States -

Full Time

Start Date

Immediate

Expiry Date

09 Sep, 26

Salary

0.0

Posted On

11 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Mining, Statistical Analysis, Graph-based Algorithms, Python, SQL, ElasticSearch, Kibana, OpenSearch, Java, Power BI, R, SAS, MATLAB, Data Visualization, Cybersecurity

Industry

IT Services and IT Consulting

Description

Description 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. 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. Requirements To be considered for this position you must have the following: 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. Experience with Java is also a plus. Background working with analyst teams including conducting data analysis and creating data visualizations. Experience with graph analytics, data pipelines, and IP-based network data is a plus, but not required. 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. Employment decisions are based solely on qualifications, merit, and business needs - not on any protected characteristic. EOA Technologies, LLC provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, ancestry, marital status, religious affiliation, hairstyle, or any other characteristic protected by federal, state or local laws. EOA is committed to providing reasonable accommodations when feasible to individuals with disabilities.

Responsibilities

Develop and implement machine learning, statistical, and graph-based algorithms to analyze complex cybersecurity datasets. Collaborate with software engineers and threat analysts to prototype analytics and translate qualitative goals into quantitative software solutions.