Senior Cybersecurity Data Scientist jobs in United States
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ECS ยท 2 hours ago

Senior Cybersecurity Data Scientist

ECS is a leading mid-sized provider of technology services to the United States Federal Government, focused on supporting Federal Agencies and Departments. They are seeking a Senior Cybersecurity Data Scientist to solve complex cybersecurity problems through data exploration and analysis, collaborating with various teams to develop holistic data science solutions.

Artificial Intelligence (AI)Cloud InfrastructureComplianceConsultingCyber SecurityInformation TechnologyMachine LearningSecuritySoftware
badNo H1BnoteSecurity Clearance RequirednoteU.S. Citizen Onlynote

Responsibilities

Execute all steps in the modeling process to produce high quality, reproducible results
Work with cyber security analysts, other data scientists, and data engineers to support the development of processes and technologies that solve cybersecurity problems
Lead and manage team members to produce holistic data science solutions leveraging best practices in development and data science
Define a problem statement that addresses cybersecurity requirements, develop an algorithmic approach to solving the problem, and execute data and algorithmic refinement to create a solution
Engage multiple stakeholders for data and operational access
Lead a team building a complete solution from data collection to action

Qualification

PythonMachine LearningData ScienceStatistical AnalysisVersion Control (Git)LinuxData VisualizationCloud ExperienceCollaboration SkillsCommunication SkillsProblem-Solving SkillsCoachable Mindset

Required

Must be a US Citizen
Proficient in Python
Knowledgeable in at least two of the following scripting languages: Bash, PowerShell, JavaScript
Experience using version control systems such as Git
Ability to engage multiple stakeholders for data and operational access
Linux and Bash/Command Line experience
MS or PhD in Data Science, Statistics, Mathematics, or related technical field with 4+ years in Data Science related field
4+ years experience using statistical computer languages (R, Python, etc.) to manipulate data and draw insights from large data sets
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
Visualization skills using R, Python or other languages and frameworks
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
Experience performing data analysis including applying statistics
Maker mindset, coachable, and have an urge to learn/master new technologies and fields
Strong problem-solving skills and critical thinking ability
Strong collaboration and communication skills within and across teams
Excellent verbal and written communication skills with experience presenting to large and small audiences
Up to 10% travel may be required

Preferred

Top Secret/SCI clearance eligible
Previous federal experience
Cloud experience, AWS preferred
Kubernetes and DevSecOps experience with CI/CD pipelines
DoD BigBang and/or PlatformOne experience
Elasticsearch
Neo4j or other graph databases
Airflow and/or other Data Engineering/Pipeline technologies
Experience with NLP technologies such as relationship extraction, transformers
Experience in Agile development methodologies
Analytics, Big Data, and other technical certification(s)
Software development background in general purpose languages such as Java, C#, Python, Go, Julia, C, C++, Rust, etc
Big Data Architecture experience
Cybersecurity knowledge/experience
4+ years experience developing and operating data platforms in support of Business Intelligence, Data Science, Machine Learning/Artificial Intelligence and Cloud/Hybrid Computing

Company

ECS is a fast-growing 4,000-person, $1.2B provider of advanced technology solutions for federal civilian, defense, intelligence, and commercial customers.

Funding

Current Stage
Late Stage
Total Funding
unknown
2018-01-31Acquired
2015-04-10Private Equity

Leadership Team

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Keith McCloskey
VP / Chief Technology Officer
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Ryan Garner
Chief Financial Officer
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Company data provided by crunchbase