Data Scientist III (Remote, ROU)
WFA Digital Insight
The demand for AI and machine learning specialists has surged in recent years, with a 25% increase in job postings in 2023 alone. As a leader in cybersecurity, Crowdstrike is at the forefront of this trend, and this Data Scientist III role offers a unique opportunity to shape the company's AI strategy. With a strong background in applied machine learning and research, candidates can leverage their skills to drive innovation and growth. Before applying, candidates should be aware of the company's commitment to excellence and its expectations for technical leadership and strategic vision.
Job Description
About the Role
As a Data Scientist III at Crowdstrike, you will be part of a team driving Applied Generative AI Research and establishing enterprise-wide standards for Generative AI implementation. You will work closely with other Scientists, Software Engineers, and Product Managers to provide technical leadership and strategic direction, accelerating the adoption and integration of AI capabilities across the organization. Your expertise will help shape the technical vision, mentor team members, and make high-impact decisions that influence the company's AI strategy.The role entails leading and architecting the research strategy for Applied GenAI initiatives, establishing technical standards and frameworks for enterprise-wide implementation. You will drive innovation in GenAI applications across business units, developing novel approaches for diverse use-cases while ensuring consistent quality and performance. Your experience in machine learning and research will be crucial in making strategic decisions about GenAI model architectures, training approaches, and deployment strategies that can scale across the organization.
As a technical leader, you will mentor and guide Data Scientists, fostering a culture of excellence and knowledge sharing across teams. You will lead cross-functional initiatives to standardize GenAI practices, collaborating with senior leadership to align technical strategy with business goals and ensure successful adoption.
What You Will Do
- Lead and architect the research strategy for Applied GenAI initiatives
- Establish technical standards and frameworks for enterprise-wide implementation
- Drive innovation in GenAI applications across business units
- Develop novel approaches for diverse use-cases while ensuring consistent quality and performance
- Make strategic decisions about GenAI model architectures, training approaches, and deployment strategies
- Mentor and guide Data Scientists while fostering a culture of excellence and knowledge sharing
- Lead cross-functional initiatives to standardize GenAI practices
- 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 GenAI implementation
What We Are Looking For
- Advanced degree (PhD or Masters) in Computer Science, Data Science, or a related field
- 5+ years of applied machine learning / research experience
- Demonstrated leadership in developing production-grade models
- 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 optimization techniques
- Outstanding communication skills with the ability to influence senior stakeholders
- Track record of solving complex technical challenges at scale
Nice to Have
- Patents or significant intellectual property contributions
- Experience in cybersecurity or a related field
- Knowledge of cybersecurity threats and mitigation strategies
- Familiarity with Crowdstrike's products and services
Benefits and Perks
- Competitive salary and benefits package
- Opportunity to work with a leader in the cybersecurity industry
- Collaborative and dynamic work environment
- Professional development and growth opportunities
- Flexible working hours and remote work options
- Access to cutting-edge technologies and tools
- Recognition and reward for outstanding performance
- Comprehensive health and wellness programs
- Paid time off and vacation days
How to Stand Out
- Be prepared to showcase your expertise in applied machine learning and research, with a focus on GenAI and LLM training.
- Highlight your technical leadership experience, including mentoring teams and driving technical strategy.
- Emphasize your ability to communicate complex technical concepts to senior stakeholders and non-technical teams.
- Prepare examples of your experience in developing production-grade models and solving complex technical challenges at scale.
- Research Crowdstrike's products and services, and be prepared to discuss your understanding of the company's technical vision and strategy.
- Be ready to discuss your experience with GPU technologies and optimization techniques, as well as your knowledge of cloud technologies and Deep Learning frameworks.
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