Data Scientist II

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!

This position is responsible for developing, enhancing, and maintaining data science solutions with particular emphasis on data processing, algorithms, and machine learning methods. The scope of the role includes both existing software products and new products in development. The ideal candidate has a strong commitment to excellence, confidence in their data science expertise, started to take initiative and works with less supervision, is a creative problem solver, and a team player.



• Participate in the full software development life-cycle.
• Help to develop, document, test, and debug machine learning models in production environments.
• Follow and help enforce our development best practices and standards.
• Actively participate or sometimes take the lead in Agile ceremonies.
• Provide assistance to less experienced team members.
• Engage with engineering and MLOPs teams to understand requirements and constraints for multiple products.
• Collaborate with other data scientists and engineers within a small team structure.
• Continually pursue independent exploration of related data science topics and technologies.
• Become a domain expert in one cybersecurity application area.
• Acquire technical expertise on the development of ML models including feature-engineered, LLMs, and generative models.
• Write technical documentation of small-scale components based on conceptual design and stated business requirements.





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At Fortra, we’re breaking the attack chain. Ready to join us? Visit our website to learn more about why employees choose to work for Fortra. Remember to connect with us on LinkedIn.

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.