What are the responsibilities and job description for the Data Scientist – TS/SCI w/ FSP REQUIRED (Herndon, VA) position at Cognito Cyber Groups?
Required Technologies/Tools
- Demonstrated experience with cybersecurity, IT systems, and A&A processes.
- Demonstrated experience with facilitation across multi-contractor and staff teams,
- Demonstrated experience collaborating with project teams or multiple entities to define project requirements and acceptance criteria.
- Demonstrated experience monitoring project progress, identifying roadblocks, and implementing mitigation strategies.
- Demonstrated experience designing, building, and maintaining data pipelines for data ingestion, processing, and transformation.
- Demonstrated experience collaborating with data scientists and analysts to ensure data quality and accessibility.
- Demonstrated experience building and implementing data governance policies and procedures for data integrity and security.
- Demonstrated experience with design, implementation, and management of secure and scalable cloud infrastructure solutions.
- Demonstrated experience with implementation and management of infrastructure-as-code solutions and collaboration with development teams.
- Demonstrated experience with implementation of Cl/CD pipelines and automation of infrastructure provisioning, application deployment, and system monitoring.
- Demonstrated experience in envisioning and delivering solutions to business problems leveraging machine learning techniques, to include: model training and development; full lifecycle model management.
- Demonstrated experience in technical architecture expertise, including systems integration and technical leadership.
- Demonstrated experience with proficiency in complex multi-network and security enclave environments.
Desired Technologies/Tools
- Demonstrated experience championing SecDevOps best practices for collaboration, efficiency, and quality.
- Demonstrated experience deploying and managing solutions utilizing retrieval augmented generation techniques.
- Demonstrated experience with big data processing and analysis tools such as Splunk, SOAR, NiFi, or Cribl.
- Demonstrated experience with data visualization and data lake house technologies.
- Demonstrated experience in AWS environment networking, security, logging, administration, and provisioning.
- Demonstrated experience with accreditation and security, including security controls, system hardening, and compliance requirements.
- Demonstrated experience with data transfer tools such as NiFi or Cribl.
- Demonstrated experience creating ad-hoc scripts in Python and JSON.
- Demonstrated experience troubleshooting network connections or scanning.
- Demonstrated experience with JIRA or another ticketing system for task tracking.
- Demonstrated experience or familiarity with DevOps lifecycle and ability to coordinate requirements with development teams.
- Demonstrated experience in Agile and Scrum methodologies for software development.
- Demonstrated experience with technical proficiency in Linux system administration and DevOps tools.
- Demonstrated experience in software engineering, cloud computing, data management, and system integration
- Demonstrated experience with machine learning frameworks such as TensorFlow, PyTorch, and deploying models in cloud environments (SageMaker)
- Demonstrated experience with data engineering and feature engineering for big data processing and machine learning algorithms.
- Demonstrated experience with understanding cloud platforms (AWS, OCI, Azure, or GCP) and best practices for cloud-based services and security.
- Demonstrated experience with technology, mission, and business systems, as well as architectural vision.
- Bachelor's Degree in Information Technology or related discipline or equivalent combination of education and work experience.
Other Relevant Technologies/Tools
- With oversight, experience managing the technical program, scope, schedule, budget, risks, and communication.
- Experience working within and across Agile teams to design, develop, test, implement, and support technical solutions, including innovation efforts for modernization and evolution of core infrastructure, platform, and data lake house.
- Experience creating customer-facing dashboard presentations and maintaining system requirements, development process documentation, and monitoring report generation and delivery.
- Experience providing recommendations for cybersecurity and IT operations enhancements, and identifying solutions and tools for an efficient, streamlined, scalable approach while maintaining high-quality service.
- Experience collaborating with in-house development teams to construct and implement feature enhancements to sponsor Analytic platform with a UI/UX mindset; integrate external systems with sponsor platform; and develop, implement, and maintain a data lake house against requirements.
- Experience integrating datasets with corporate machine learning tooling.
- Experience developing, implementing, and maintaining solutions that allow platform users to quickly understand and gain value against massive data sets.
