Sr. Data Scientist (Remote, ROU)

Posted 2 Hours Ago
Be an Early Applicant
Hiring Remotely in România
Remote or Hybrid
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Define your future at CrowdStrike.
The Role
Lead research and development of production-grade generative AI agents and large language models. Set technical direction for model architectures, training, deployment, evaluation, and optimization at scale. Mentor data scientists, guide cross-functional technical strategy, establish engineering standards, and collaborate with senior leadership. Drive innovations in reasoning, summarization, and interactivity while representing technical work through publications, speaking engagements, and thought leadership.
Summary Generated by Built In

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.


About The Role:
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.

What You’ll Do:

  • 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

What You’ll Need:

  • 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.

Bonus Points:

  • 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

#LI-GT1

#LI-JP2

#LI-Remote


Benefits of Working at CrowdStrike:

  • 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.


If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at [email protected] for further assistance.


Skills Required

  • 8+ years of applied machine learning or research experience
  • Experience developing production-grade machine learning models
  • Deep expertise in large language model training and 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 and ability to influence senior stakeholders
  • Experience solving complex technical challenges at scale
  • Experience using AI technologies to improve decision-making, workflows, efficiency, and business outcomes
  • Advanced degree 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 applying machine learning to cybersecurity
  • Successful research-to-production implementations at scale
  • Contributions to open-source machine learning projects

What the Team is Saying

Andrew C.
Lauren P.
Brian P.
Alexa Z.
Theo K.
Sara I.
Lam N.
Lauren B.
Adeeb C.
Kristan C.
Alena C.
Thaddeus M.
Alyssa J.
KT T.

CrowdStrike Compensation & Benefits Highlights

  • Healthcare Strength — Feedback suggests health coverage is comprehensive with multiple plan options (HSA and PPO) and is generally regarded as good. Dental and vision are also included and described positively.
  • Leave & Time Off Breadth — Feedback suggests time off is flexible or unlimited, with generous PTO and paid holidays highlighted. Actual usage is noted as depending on team or manager.
  • Equity Value & Accessibility — Equity awards and an ESPP with a discount and lookback are described as meaningful components of pay. These elements are often cited as strengthening total compensation.

CrowdStrike Insights

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The Company
HQ: Austin, TX
11,000 Employees
Year Founded: 2011

What We Do

CrowdStrike has redefined security with the world’s most advanced cloud-native platform that protects and enables the people, processes and technologies that drive modern enterprise. Tested and proven, the world's largest organizations trust CrowdStrike to stop breaches with unparalleled protection against the most sophisticated cyberattacks. The CrowdStrike culture has been built upon our Core Values since the day we began. We are Fanatical About the Customer, Relentlessly Focused on Innovation and believe that our Limitless Passion drives Unlimited Potential for every CrowdStriker. As a purpose-built remote-first company, we believe cultivating a connected culture for every employee, no matter where they are in the world, is a key ingredient in building a high-performing, diverse team. We don’t have a mission statement. We’re on a mission—to stop breaches. Ready to join a mission that matters?

Why Work With Us

We have a culture that celebrates achievement, encourages flexibility and innovation and thrives on teamwork. We all work towards a single mission: to stop breaches. This common goal drives a sense of community and connection among our people across the globe.

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CrowdStrike Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
HQAustin, TX
Osaka
Aarhus, DK
Arlington, VA
Barcelona, ES
Bengaluru, IN
Brussels, BE
Bucharest, RO
Cheltenham, GB
Copenhagen, DK
Dubai, Dubai
Irvine, CA
Kirkland, WA
Minneapolis, MN
Mumbai, IN
New Delhi, IN
Pune, IN
Reading, GB
Riyadh, SA
Saint Louis, MO
Singapore
Sunnyvale, CA
Sydney, Sydney
Tel Aviv-Yafo, IL
Tokyo, Japan
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