Whether you’re an experienced professional or just getting started, your contributions matter at Fortra. If you’re passionate about tackling meaningful challenges alongside talented team members committed to helping each other succeed, all while having lots of fun, we want to hear from you. We offer competitive benefits and salaries, personal and professional development opportunities, flexibility, and much more! 

At Fortra, we’re breaking the attack chain. Ready to join us? 

We are seeking a mission-driven Senior Data Science Architect to lead the design and implementation of advanced machine learning systems in support of cybersecurity operations. This role is ideal for a hands-on architect with deep experience in building scalable data pipelines, integrating threat analytics into SIEM platforms, and deploying solutions via modern CI/CD workflows. You will play a critical role in shaping our cyber defense capabilities through data-driven innovation and automation.

WHAT YOU'LL DO

• 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.
• Collaborate with cross-functional teams including security analysts, data scientists, and DevOps engineers to deliver integrated solutions.

QUALIFICATIONS

• 8+ years of experience in data science, machine learning, cybersecurity, and threat analytics.
• 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)
• Excellent communication skills with the ability to bridge technical and non-technical 
  stakeholders

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As an EEO/Affirmative Action Employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, veteran or disability status.