Sr. Data Scientist (Hybrid)

Crowdstrke
Sunnyvale
Workplace: HybridFull timeUSD 140,000 - 215,000 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsSkills: ["Python","Go","SQL","Spark","Kafka","S3","Iceberg","Parquet","NLP","LLMs","RAG","Agentic AI","Kubernetes","Distributed Systems","Model Serving","ML Pipelines","Experimentation Platforms","Model Monitoring"]

Senior Data Scientist to design, build and deploy AI systems for analyzing and prioritizing millions of security events per second. Lead AI/ML architecture, retrieval, ranking, anomaly detection, and AI-driven security operations. Hybrid role in Sunnyvale, CA with on-site 2 days/week; collaborate with Product, Engineering, Security, and Operations to deliver scalable AI solutions and drive business impact.

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Crowdstrke
Crowdstrke
3 months ago

Sr. Data Scientist (Hybrid)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 24 days agoStatus: Live

Job Summary

Senior Data Scientist to design, build and deploy AI systems for analyzing and prioritizing millions of security events per second. Lead AI/ML architecture, retrieval, ranking, anomaly detection, and AI-driven security operations. Hybrid role in Sunnyvale, CA with on-site 2 days/week; collaborate with Product, Engineering, Security, and Operations to deliver scalable AI solutions and drive business impact.
Location: Sunnyvale
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Lead the architecture and technical strategy for large-scale retrieval, ranking, vector search, RAG, and anomaly detection systems operating at enterprise scale.
  • •Drive innovation across LLMs, AI-powered discovery, personalization, and autonomous AI workflows.
  • •Define the future direction of AI-driven reasoning, ranking and investigation capabilities across the platform.
  • •Own end-to-end AI/ML architecture, including data pipelines, feature engineering, model development, deployment, monitoring, evaluation, and continuous improvement.
  • •Establish scalable architecture patterns, engineering standards, experimentation frameworks, and operational best practices across multiple teams.

Pay and Benefits

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

Key Requirements

  • •8+ years of experience building and scaling large-scale AI/ML, search, retrieval, ranking in the cybersecurity space
  • •MS, PhD, or equivalent industry experience in Computer Science, Statistics, Physics, or a related quantitative discipline
  • •Deep expertise in semantic retrieval, vector search, ranking systems, recommendation systems, NLP/LLMs, RAG architectures, and agentic AI systems
  • •Strong understanding of retrieval and ranking trade-offs, experimentation methodologies, model evaluation, and operational excellence
  • •Experience operating large-scale production systems with demanding latency, scalability, reliability, and cost requirements
Experience:8+ yearsCybersecurityAIMLData scienceDistributed systems
Skills:PythonGoSQLSparkKafkaS3IcebergParquetNLPLLMsRAGAgentic AIKubernetesDistributed SystemsModel ServingML PipelinesExperimentation PlatformsModel Monitoring
Languages:English
Tech Stack:PythonGoSQLSparkKafkaS3IcebergParquetLLMsRAGKubernetesDistributed SystemsModel ServingML PipelinesExperimentation PlatformsModel MonitoringNLP

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