Data Scientist - AI and Data Science Engineer I
Indexed description
Work you'll do
As an AI and Data Science Engineer I on the AI & Data team, you will:
- Develop and sustain operational technology cyber data ontologies that support analytics, detection, and reporting use cases
- Build, train, test, and maintain machine learning models for operational technology cyber threat and attack detection
- Design and maintain data pipelines that move sensor and telemetry data from on-premises environments to cloud platforms
- Analyze cyber data to identify patterns, anomalies, and indicators that support security operations and mission objectives
- Collaborate with technical leads, delivery teams, security operations center stakeholders, cloud and data teams, and program management to implement scalable analytics solutions
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to mentor and provide clear guidance to others
Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
Qualifications
Required:
- Bachelor's degree
- Active Secret security clearance required
- 1+ years of experience with data modeling, Jira, machine learning, Python, and SQL
- Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- Experience supporting operational technology cybersecurity analytics use cases
- Experience developing and maintaining machine learning models in production environments
- Experience designing data pipelines across on-premises and cloud-connected environments
- Experience analyzing cyber data to identify anomalies, patterns, and indicators
- Experience working with cross-functional stakeholders across delivery, security operations, cloud, and program management teams
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