Data Scientist (Remote, ROU)

CrowdStrike Inc.; United States; Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Equity awards

Wellness programs

Paid parental leave

Professional development

Office amenities

Job summary

CrowdStrike Inc. is seeking a Sr. Data Scientist to lead the next generation of AI assistants powered by LLMs.

You will shape technical strategy, mentor researchers, and collaborate with product managers to drive innovation and scalable AI solutions in cybersecurity. You will work with engineers and data scientists to deliver AI capabilities, publish findings, and influence leadership with strategic insights.

Qualifications

• 8+ years of applied machine learning / research experience with leadership in 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 ability to influence senior stakeholders.
• Track record of solving complex technical challenges at scale.
• Proven experience utilizing AI technologies to enhance decision-making and drive business outcomes.
• Advanced degree (PhD or Masters) in Computer Science or Data Science.
• Patents or significant IP contributions in AI.
• Strong research portfolio with publications in AI journals and conferences.
• Experience with cybersecurity applications of machine learning.
• Track record of research-to-production implementations at scale.
• Contributions to open-source ML projects.

Responsibilities

• Lead and architect research for new GenAI agents/LLMs and set technical direction for the team.
• Drive innovation in LLM applications, including novel reasoning and interactivity approaches.
• Make strategic decisions about GenAI model architectures, training, and deployment.
• Mentor Data Scientists and foster a culture of engineering excellence.
• Lead cross-functional initiatives aligning technical strategy with business goals.
• Represent CrowdStrike's technical excellence through publications and talks.
• Establish best practices, technical standards, and evaluation frameworks for the team.

Skills

LLM training

Production-grade models

Python

Deep Learning

Cloud technologies

GPU optimization

Leadership

Mentoring

Stakeholder communication

Open-source

Cybersecurity ML

Education

PhD or Masters in Computer Science or Data Science

Tools

Python

Deep Learning frameworks

Cloud platforms

GPU architectures

Job description

Описание: As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. CrowdStrike is seeking a Sr. Data Scientist to join our team building the next generation of AI assistants powered by large language models (LLMs). You will work closely with other scientists, software engineers and product managers to provide technical leadership and execution, while driving innovation in our AI capabilities. You will shape the technical vision, mentor team members, and make high-impact solutions and inventions. This is a unique opportunity to lead groundbreaking developments in AI that will revolutionize 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.

Задачи:

• Lead and architect the research for new GenAI agents/LLMs, setting the technical direction for the team and leading from the front on execution, derivation, and implementation
• Drive innovation in LLM applications, including novel approaches to reasoning, summarization, and interactivity
• Make strategic decisions about GenAI model architectures, training approaches, and deployment strategies
• Mentor and guide Data Scientists while fostering a culture of engineering excellence
• 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

Требования:

• 8+ years of applied machine learning / research experience, with 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 ability to influence senior stakeholders
• Track record of solving complex technical challenges at scale
• Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes
• Advanced degree (PhD or Masters) in Computer Science, Data Science, or a related field
• 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

Условия:

• Market leader in compensation and equity awards
• Comprehensive physical and mental wellness programs
• Competitive vacation and holidays for recharge
• Paid parental and adoption leaves
• Professional development opportunities for all employees regardless of level or role
• Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
• Vibrant office culture with world class amenities
• Great Place to Work Certified across the globe
• CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed
• We support veterans and individuals with disabilities through our affirmative action program
• CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment
• The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law
• We base all employment decisions—including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs—on valid job requirements

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