Fortra is seeking a Senior Data Science Architect to lead the design and implementation of advanced machine learning systems to enhance cybersecurity operations and break the attack chain.
Requirements
- Proven expertise in streaming analytics, graph analytics, and data integration.
- Hands-on experience with cloud platforms (AWS, Azure, GCP) and SIEM (e.g. Splunk)
- Proficiency in Python, C++, and modern ML/AI frameworks
- Familiarity with LLMs, and agentic workflows for automation
- Strong understanding of CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes)
Responsibilities
- Own end-to-end solution delivery, from concept through deployment, with a focus on performance, scalability, and security.
- Architect and implement robust data pipelines for ingesting, transforming, and analyzing cybersecurity telemetry, including streaming and batch processing.
- Design and deploy threat analytics frameworks that integrate with company’s custom SIEM solution to detect anomalies, malware, and adversarial behaviors.
- Design scalable ML infrastructure and interfaces that enable data scientists to efficiently build, train, and deploy models.
- Collaborate with Data Science, MLOps and Software Engineering teams to ensure seamless integration of ML models into production systems and define best practices.
- Lead CI/CD initiatives to automate deployment of analytics models, data workflows, and infrastructure across cloud and hybrid environments.
- Ensure data integrity and instrumentation from source systems to end-user applications, enabling high-confidence decision-making.
Other
- 8+ years of experience in data science, machine learning, cybersecurity, and threat analytics.
- Excellent communication skills with the ability to bridge technical and non-technical stakeholders
- Flexible PTO policy
- Tuition and personal enrichment reimbursement
- Option to enroll in ID Theft Protection Program
