Manager, Data Science
CrowdStrike
Job Overview
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Job Description
About The Role
CrowdStrike is seeking a Manager, Data Science to join our team building the next generation of AI assistants powered by large language models (LLMs). You will manage and work closely with other scientists, software engineers and product managers to provide mentorship, technical leadership and strategic direction, while driving innovation in our AI capabilities.
You will shape the technical vision, mentor team members, and make high-impact decisions that influence the company's AI strategy. This is a unique opportunity to lead groundbreaking developments in AI assistants that will revolutionise how we access information and interact with technology in the cybersecurity space. This opportunity presents a dynamic, growth-oriented startup environment for a driven, research-focused professional.
What You’ll Do
- Lead and architect the research strategy for new GenAI agents/LLMs, setting the technical direction for the team.
- Recruit, lead and mentor a team of top-tier data scientists engaged in professional fields, like ML and LLMs.
- Drive innovation in LLM applications, including novel approaches to reasoning, summarisation, and interactivity.
- Make strategic decisions about GenAI model architectures, training approaches, and deployment strategies.
- Lead cross-functional initiatives and collaborate with senior leadership to align technical strategy with business goals.
- Represent CrowdStrike's technical excellence through publications, speaking engagements, and thought leadership.
- Establish best practices, technical standards, and evaluation frameworks for the team.
What You’ll Need
- Advanced degree (PhD or Masters) in Computer Science, Data Science, or a related field.
- 8+ years of applied machine learning / research experience, with demonstrated leadership in developing production-grade models.
- Proven track record of leading Data Science teams.
- Deep expertise in LLM training / deployment at scale.
- Strong technical leadership experience, including mentoring teams and driving technical strategy.
- Advanced knowledge of Python, Deep Learning frameworks, and cloud technologies.
- Expert-level understanding of GPU technologies and optimisation techniques.
- Outstanding communication skills with ability to influence senior stakeholders.
- Track record of solving complex technical challenges at scale.
Bonus Points
- Patents or significant intellectual property contributions in AI.
- Strong research portfolio with publications in leading AI journals and conferences.
- Experience with cybersecurity applications of machine learning.
- Track record of successful research-to-production implementations at scale.
- History of contributions to open-source ML projects.
Benefits Of Working At CrowdStrike
CrowdStrike offers market-leading compensation and equity awards, comprehensive physical and mental wellness programs, and competitive vacation and holidays for recharge. Employees benefit from paid parental and adoption leaves, professional development opportunities, and various employee networks and volunteer opportunities. The company boasts a vibrant office culture with world-class amenities and is Great Place to Work Certified™ across the globe.
Key skills/competency
- Data Science Leadership
- Large Language Models (LLMs)
- Generative AI (GenAI)
- Machine Learning (ML)
- Python
- Deep Learning Frameworks
- Cloud Technologies
- GPU Optimization
- Technical Strategy
- Cybersecurity Applications
How to Get Hired at CrowdStrike
- Research CrowdStrike's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight your leadership in data science, LLM expertise, and experience with production-grade ML models to align with the Manager, Data Science role at CrowdStrike.
- Prepare for technical depth: Showcase your advanced Python, Deep Learning, cloud, and GPU optimization skills with relevant project examples.
- Demonstrate strategic thinking: Be ready to discuss how you've driven technical strategy and led cross-functional initiatives in previous data science roles.
- Practice behavioral questions: Focus on leadership, mentorship, and communication skills, providing examples of problem-solving and collaboration at scale.
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