Remote Principal GenAI Data Scientist
Kforce Inc.
Job Info
RESPONSIBILITIES:
Kforce has a client in Palo Alto, CA that is seeking a remote Principal GenAI Data Scientist.Summary:The Principal Data Scientist will innovate in cybersecurity using Generative AI to enhance SOC operations. This role uniquely blends AI expertise with a passion for cybersecurity, focusing on transforming advanced AI research into practical cybersecurity solutions. It offers a significant opportunity for professional growth at the forefront of AI in the dynamic field of cybersecurity.Responsibilities:- AI-Driven Cybersecurity: Develop/Leverage/Fine-tune generative AI models for threat simulation and prediction
- Threat Detection: Use AI for emerging threat identification and pattern analysis
- SOC Innovation: Integrate AI tools to automate threat detection and response
- Team Collaboration: Partner with cybersecurity teams to tailor AI solutions
- Data Management: Handle cybersecurity data, informing AI model development
- Industry Awareness: Keep updated with AI and cybersecurity advancements
- Effective Communication: Convey AI concepts within the cybersecurity context
REQUIREMENTS:
- Educational and Professional Background: An advanced degree in Computer Science, Cybersecurity, AI, or a related field, complemented by 5+ years of relevant experience
- AI and Cybersecurity Expertise: A strong foundation in artificial intelligence, with a specific focus on generative models, and a passion for exploring cybersecurity applications
- Analytical Skills: Demonstrated ability to tackle complex cybersecurity issues through analytical problem-solving
- Leadership and Teamwork: A track record of successful project leadership, showcasing effective collaboration and team-building capabilities
- Communication Skills: Competence in articulating technical concepts clearly and effectively to a diverse range of audiences
- SOC Familiarity: Knowledge of Security Operations Center (SOC) operations and tools, underlining a practical understanding of real-world cybersecurity defense mechanisms
- Technical Proficiency in AWS: Experience with AWS services, including but not limited to SageMaker, EMR, S3, DynamoDB, and EC2, indicating a strong grasp of cloud computing environments
- Machine Learning Expertise: Hands-on experience with various aspects of machine learning, including deep learning, natural language processing (NLP), computer vision (CV), graph neural networks (GNN), and distributed training, showcasing a broad and deep technical skill set
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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