Responsibilities

Arcfield's Cyber programs are expanding and currently in need of Data Scientist, Senior/Level 3 professionals providing data management and analysis to assist in recommending changes to the Government that can improve operational effectiveness and support decision making.

Note: An offer for this position is contingent upon contract award.

 

Responsibilities include, but are not limited to the following: 

Extract, transform, load, analyze, and interpret relevant information assurance (IA) data for timely analytic useProvide reports on associated patterns, anomalies, and potential security concernsAnalyze historical data to gain insights, understand patterns, anomalies, and potential security considerations, and present findings clearly and conciselyConduct predictive analytics to prepare models and algorithms for identifying, characterizing, and forecasting future outcomesPerform prescriptive analytics to recommend optimal actionsIntegrate analytic findings and outcomes into other cybersecurity products and processes, including Continuous MonitoringConduct ongoing research on emerging data science methodologies and technologies, providing reports and recommendations for adoptionAssist in creating, editing, managing, and archiving information within data sourcesEnsure accuracy of datasets and recordsSupport relevant data management activitiesWork on complex technical problems and provide innovative solutionsAnalyze unstructured and semi-structured data using advanced techniques such as latent semantic indexing (LSI), entity identification and tagging, and complex event processing (CEP)Apply analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructuresHandle processing and index requests for high-volume data collections and high-velocity data streamsDevelop and deploy sophisticated applications using advanced unstructured and semi-structured data analysis techniquesUtilize advanced tools and computational skills to interpret, connect, predict, and make discoveries in complex dataDeliver recommendations for business and analytic decisions based on data insightsWork with various software development stacks, data transport and transformation APIs, and technologiesUtilize cloud-based data analysis tools, visual analytic tools, and open-source textual processing technologiesApply machine learning, algorithm analysis, and data clustering techniques in data science projects
Qualifications

Required:

 

Must possess and maintain a TS/SCI clearance with PolyBS 10-12, MS 8-10, PhD 5-77 years of experience in data science, mathematics, statistics, business analytics, or equivalent quantitative fieldDemonstrate ability to prepare and analyze data visualizationsDemonstrate ability to select appropriate analytical approaches towards automation Demonstrate ability to review and refine requirements for data science cybersecurity approaches Demonstrate strong understanding of Large Language Models (LLMs)Demonstrate strong understanding of machine learning principles, techniques, and technologies Demonstrate strong knowledge of data engineeringDemonstrate strong knowledge of data management Familiar with Agile processes (Scrum, Jira, Confluence)Strong working experience with numerous projects on the following or equivalent:AWSSparkKafkaTableauPython (e.g. TensorFlow and PyTorch)R (e.g. tidyverse, Rshiny)SplunkFamiliarity with Agile or equivalent project management process 

Desired:

 

Exposure to cybersecurity applications or operations A STEM degree in data science, mathematics, statistics, business analytics, or equivalent quantitative fieldExperience with various software development stacks, data transport and transformation APIs, and technologiesAbility to utilize cloud-based data analysis tools, visual analytic tools, and open-source textual processing technologiesExperience with software development stacks, data transport and transformation APIs, and technologiesDemonstrated experience working on complex technical problems and provide innovative solutionsAbility to deliver recommendations for business and analytic decisions based on data insights
EEO Statement

We are an equal opportunity employer and federal government contractor. We do not discriminate against any employee or applicant for employment as protected by law.