> Markdown version of [/jobs/ext/1024296-data-science-cyber-systems-engineer](https://www.wearedevelopers.com/jobs/ext/1024296-data-science-cyber-systems-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Science Cyber Systems Engineer - **Company:** Tenica and Associates - **Location:** Springfield, VA, United States - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Artificial Intelligence, Amazon Web Services, Data Analysis, Systems Engineering, Big Data, Cyber Security, Data Transformation, Data Visualization, Relational Databases, Programming Tools, Apache Hadoop, Hadoop Distributed File System, Identity and Access Management, JSON, Python (Programming Language), Machine Learning, Microsoft Office, Microsoft Project, Microsoft Visio, Office Automation, Tableau (Software), Infrastructure Automation Frameworks, Splunk, Amazon Elastic Mapreduce (EMR), Servicenow, Vulnerability Analysis - **Published:** June 26, 2026 - **Apply:** https://www.clearancejobs.com/jobs/8998457/data-science-cyber-systems-engineer ## About the Role * Current U.S. Government Top Secret clearance with SCI eligibility. * Favorably adjudicated Polygraph. * Bachelor of Science Degree in Science, Technology, Engineering or Mathematics (STEM) or an advanced IA certification (i.e., CISSP or CASP) * DoD 8570 certification in IAT or IAM * Knowledge of and experience with RMF policies * Excellent communications skills - both verbal and non-verbal * Office Automation Skills - MS Office, MS Project, Visio * Self-starter requiring limited direction and supervision * Strong analytic and risk management skills * Strong attention to detail * Ability to work in a team environment * Experience with data visualization tools (e.g. Tableau, Infogram, Chartbloks) * Experience with data transformation (structured data format/schema transformation) using common programming tools (e.g., Python, JSON, etc.) * Experience applying statistical analysis to large data sets Desired: * Experience briefing senior customer personnel * Ability to organize and prioritize numerous customer requests in a fast pace deadline driven environment * Familiarity with Amazon Web Services (AWS) * Familiarity with customer's IA processes * Experience with ServiceNow and Splunk * Experience supporting IC or DoD in the Cyber Security Domain * Familiarity with the RMF process * Experience with Relational Database Management System (RDMS) * Experience with Apache Hadoop and the Hadoop Distributed File System * Experience with Amazon Elastic MapReduce (EMR) and SageMaker * Experience with Machine Learning or Artificial Intelligence ## Description The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. Daily Tasks include, but are not limited to: * Support Designated Authorizing Official Representative (DAO-R) and ConMon Validators in compliance decisions by analyzing data sets found in the customer's vulnerability scanning, authorization and configuration management tools * Import and transform data into usable sets for analysis tools used by the customer (e.g., Tableau, etc.) * Provide analysis and graphical presentations of collected metrics for IA compliance status reporting * Support legacy visualization and situational awareness tools based on Microsoft Excel * Collaborate with the Heat Map team to investigate options to simplify and automate the current Heat Map ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data) - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Best Paying Jobs in Technology](https://www.wearedevelopers.com/magazine/256-best-paying-jobs-in-technology) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Dev Digest 134 - Where pixels sing?](https://www.wearedevelopers.com/magazine/477-dev-digest-134-where-pixels-sing)