Data Scientist II

• 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 development best practices and standards
• Actively participate in or sometimes lead 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 in feature-engineered, LLM, and generative ML models
• Write technical documentation for small-scale components based on conceptual design and stated business requirements

• At least 4 years of experience in data science roles is required
• Strong academic background (PhD program in a technical field) is an adequate substitute for a few years of industry experience
• Solid experience developing data science solutions in at least one major programming language such as Python, Java, or C++
• Solid knowledge of Data Science techniques and methodologies and demonstrated ability to apply these methodologies in active projects
• Some Machine Learning (ML) background and experience in at least one application area such as NLP, Computer Vision, or Generative AI
• Successfully developed and deployed multiple ML models in industry
• Comfortable with Python-based frameworks such as PyTorch, TensorFlow, and scikit-learn
• Demonstrated ability to collaborate with other data scientists and engineers within a small team
• Some experience assisting or providing mentorship to junior data scientists
• Good communication and presentation skills
• Ability to convey complicated technical topics to non-technical people both verbally and in writing
• Demonstrated problem solving ability and critical thinking skill with various types of real-world data
• Experience with the Agile/Scrum project development methodology
• Interest in cybersecurity applications

• Competitive benefits and salaries
• Personal and professional development opportunities
• Flexibility