We are seeking a visionary Principal Data Scientist with profound AI expertise to join the CTO office of Security.
This team is pivotal in ensuring We deliver cutting-edge security technologies across all markets. This role spans multiple teams and disciplines, working on high-visibility, high-impact technologies. This is your chance to be part of a dynamic, startup-like team and enjoy the journey.
Join us to shape the future of security!
Responsibilities
Spearhead the exploration, evaluation, and adoption of innovative technologies and tactical capabilities. Collaborate closely with stakeholders to identify and maximize opportunities for technology use, translating them into actionable plans.
Design and conduct rigorous experiments and analyses to evaluate model performance, identify improvement areas, and iterate on existing solutions.
Investigate and pioneer new AI-based approaches to address cybersecurity challenges, validating their effectiveness through data-driven methods.
Lead the end-to-end design and implementation of planned POCs, ensuring seamless execution.
Provide strategic technical leadership and mentorship, fostering a culture of innovation and excellence within the team.
Drive cross-functional collaboration to align strategic initiatives with organizational goals, ensuring cohesive execution.
Requirements: Ph.D. or M.Sc. in computer science, software engineering, or a related field with a focus on machine learning, information retrieval, or recommender systems.
10+ years of experience in developing and deploying ML models and LLMs in real-world applications.
Extensive and practical AI knowledge, including LLMs.
Exceptional problem-solving skills with the ability to navigate ambiguity and make informed decisions in a fast-paced environment.
Proven experience in leading and mentoring teams, driving innovation, and achieving strategic goals.
Preferred Qualifications:
Experience in the cybersecurity domain (offensive security is a bonus).
Experience working with cloud services (Microsoft Azure is a bonus).
Familiarity with Knowledge Graphs and Graph data structures and algorithms.
This position is open to all candidates.