Data Scientist Incident Response

Job Description

Description

A trusted leader in cloud, digital engineering, data, and Artificial Intelligence, the nation looks to SAIC to integrate emerging technology to modernize critical missions and enable its national imperatives. To address the growing demands within the Department of Defense, SAIC is seeking a highly skilled and dynamic Incident Response (IR) Data Scientist to support the data, analytics, digital, and AI capabilities of our Digital and AI Team.  As we embark on a new initiative leading the design, solutioning, and operations of integrated Enterprise IT solutions, we are dedicated to delivering world-class AI-enabled capabilities and enabling data-driven decision making to global missions across the Department, Services, and Combatant Commands.

The Ideal candidate will be adept at managing customer relationships, driving operational excellence, and fostering continuous improvement across all service areas in a global environment.

Your Responsibilities Include: 

• Designs and architects AI and Data Science solutions using algorithmic and quantitative methods to meet the predictive analytics needs of the organization.
• Performs analysis and processing of data into feature sets for Data Science and AI applications, interpreting large volumes of data (e.g. images, metrics, etc.) in search of patterns and/or anomalies.
• Identifies and gathers relevant data from various sources, including databases, APIs, web scraping, and third-party providers, combining data into a cohesive and understandable dataset.
• Trains and maintains algorithmic AI models.
• Support the design and execution of experiments and tests to evaluate the performance and reliability of prototype solutions in laboratory and operational settings.
• Collects and analyzes statistics, data, and algorithms for projection accuracy and develops methods for quantitative measurement of algorithmic predictive power.
• Designs standardized architecture to integrate AI models into software solutions that meet organizational needs.
• Takes measures to ensure adherence to organizational guidelines for security and the ethical use of AI.
• Research, test, and evaluate the best-of-breed data collection mechanisms to curate modeling and simulation.
• Research varying data feeds and effectors to model the kill chain.
• Architect science and technology data collection strategies that automates ingest and indexing to transform data into quarriable intelligence.
• Develop machine learning and unsupervised learning models and dataset statistics.
• Collaborate with multidisciplinary team to apply AI/ML to critical public sector challenges.
• Knowledge of software engineering principles and best practices, including version control systems (e.g., Git), software design patterns, unit testing, and CI/CD pipelines.
• Coordinates with internal teams and external stakeholders to maintain operations, mitigate risks, and restore normal operations during an IR event.
• Participates in failover and continuity of operations (COOP) planning and exercises, testing failover capabilities as required, continuously improving response plans and procedures.
• Utilizes forensic tools and techniques to gather, preserve, and analyze evidence in support of incident investigations, providing recommendations to prevent future incidents.
• Analyzes assignments in the form of objectives, implied tasks, and establishes goals to successfully meet outlined objectives in the designated sprint.
• Has a general knowledge of IT disciplines to provide direction to employees according to established policies and management guidance.
• Ensures appropriate compliance regulations are established and upheld. 

Qualifications

Required Qualifications:

You Bring to The Table: 

• Bachelor’s degree in Computer Science, Information Science/Technology, Engineering, or a related field and five (5) years or more experience; Master’s and three (3) years’ experience in designated field. Experience may be considered in lieu of degree.
• Security+ Certification.
• Experience working in a DoD environment supporting Combatant Commands and/or Joint Staff in an enterprise IT environment, across multiple domains and various clearance levels.
• Experience working in an Agile Community, using Agile methodology for product and project management.
• Cloud environment, preferably AWS certification.
• Experience developing visualizations (Tableau, PowerBi, etc) for customers to determine anomalies and gain actionable intelligence from their data.
• Experience in developing or using deep learning frameworks (e.g. Tensorflow, Keras, Caffe, PyTorch, ONNX, etc.) as well as Python, JavaScript, and C++ to create a faster, more capable AI.
• Experience with programming languages such as C/C++, real-time operating system, embedded software.
• Strong analytical, problem-solving, and debugging skills.
• Excellent interpersonal and communication (verbal and written) skills.
• US citizenship and Secret security clearance is required. Must be able to obtain, or maintain, the security clearance as required.

Preferred Qualifications:

We’d Love It If You Also Have: 

• ITIL certification is a plus.
• Experience in MCU development environments is a plus.

Overview

SAIC® is a premier Fortune 500® technology integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 24,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.4 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.