Sr. Data Scientist, Applied AI/ML

Crowdstrke
United States
Workplace: RemoteFull timeUSD 140,000 - 215,000 annuallyFunction: Data Science & Machine LearningExperience: 7+ yearsEducation: mastersSkills: ["Technical leadership","Communication","Mentoring","Strategic decision-making","Stakeholder influence"]

Lead the development of next-generation AI/ML capabilities focused on safe, cyber-relevant GenAI. Partner with data scientists, software engineers, and product teams to drive end-to-end R&D across data sourcing, labeling, modeling, evaluation, and production-ready implementations. Own technical strategy for LLM/agent architecture, training, and deployment trade-offs, mentor teammates, and help establish best practices, standards, and evaluation frameworks.

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Crowdstrke
Crowdstrke
4 days ago

Sr. Data Scientist, Applied AI/ML

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Lead the development of next-generation AI/ML capabilities focused on safe, cyber-relevant GenAI. Partner with data scientists, software engineers, and product teams to drive end-to-end R&D across data sourcing, labeling, modeling, evaluation, and production-ready implementations. Own technical strategy for LLM/agent architecture, training, and deployment trade-offs, mentor teammates, and help establish best practices, standards, and evaluation frameworks.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop innovative AI safety and cyber detection solutions with a focus on efficient, effective outcomes.
  • •Co-develop end-to-end R&D workflows, including data sourcing, labeling, advanced modeling, and evaluation/benchmarking.
  • •Design and build fit-for-purpose LLM-driven applications in collaboration with product and engineering teams.
  • •Drive LLM/GenAI research and deployment strategy, including architectures, training approaches, and trade-offs across accuracy, efficiency, and cost.
  • •Mentor Data Scientists, lead cross-functional initiatives, and represent technical excellence through publications and thought leadership.

Pay and Benefits

Salary: USD 140,000 - 215,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kPaid LeaveParental Leave

Key Requirements

  • •Advanced degree (PhD or Masters) in Computer Science, Data Science, or a related field.
  • •7+ years of applied machine learning/research experience, with expertise building production-grade models.
  • •Deep expertise in LLM training or post-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.
Experience:7+ yearsCybersecurityAIMachine learningGenAI
Education:Master's
Skills:Technical leadershipCommunicationMentoringStrategic decision-makingStakeholder influence
Tech Stack:PythonDeep LearningLLMsGenAIGPUCloud technologies

Company Brief

Crowdstrke
Provides cloud-native endpoint protection, threat intelligence, and security operations solutions that prevent breaches and stop sophisticated cyberattacks across endpoints, cloud workloads, identity, and APIs for enterprises worldwide.
Industry: Cybersecurity
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Sunnyvale, United States
Founded: 2011
Glassdoor
Glassdoor: 4.4
WebsiteLinkedIn