Accenture Federal Services is seeking to enhance the US federal government's cybersecurity posture by leveraging advanced data science and AI tools for threat detection and analysis.
Requirements
- 5 years of experience in data science, with a strong focus on cybersecurity applications
- Experience in Python, R, or Scala, with experience in tools such as TensorFlow, PyTorch, scikit-learn (sklearn)
- Experience working with cybersecurity principles, including network security, SIEMs, endpoint protection, and threat hunting
- Experience with cloud security data (AWS, Azure, or GCP)
- Understanding to AI workloads on both on premises data centers and with cloud providers
- Familiarity with data engineering, including ETL, data lakes, and real-time stream processing (e.g., Kafka, Spark)
- Familiarity with threat intelligence platforms and frameworks like MITRE ATT&CK
Responsibilities
- Analyze large-scale cybersecurity data (logs, network traffic, threat feeds) to uncover patterns and vulnerabilities
- Collaborate with security operations, IT, and engineering teams to integrate data science solutions into existing infrastructure
- Build and maintain data pipelines that support real-time analytics and automated incident response
- Evaluate emerging AI/ML technologies and assess their potential in improving threat detection and response
- Translate complex findings into clear, actionable insights for technical and non-technical stakeholders
Other
- Must have an active TS/SCI level clearance
- Excellent problem-solving, communication, and stakeholder engagement skills
- Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
