Cybersecurity Data Scientist

4 days ago


Mumbai, Maharashtra, India CrowdStrike Full time
Role Overview: We are seeking a skilled Cybersecurity Data Scientist to join our team at CrowdStrike. The ideal candidate will have a strong background in machine learning, distributed systems, and data platforms.

About the Company: As a market leader in cybersecurity, we offer unparalleled protection against sophisticated cyberattacks. Our cloud-native platform is designed to stop breaches, and we're committed to cultivating an inclusive, remote-first culture that offers people autonomy and flexibility to balance work and life.

Salary: $120,000 - $180,000 per year, based on experience and qualifications.

Job Description: The successful candidate will play a key role in building out our ML Experimentation Platform from the ground up. This involves designing, implementing, and maintaining scalable ML pipelines that influence critical business decisions. You'll collaborate closely with Data Platform Software Engineers, Data Scientists & Threat Analysts to bridge the gap between model development and operational success.

Responsibilities:
  1. Design and build a modern Data+ML platform that scales to thousands of users.
  2. Modularize complex ML code into standardized and repeatable components.
  3. Establish and facilitate adoption of repeatable patterns for model development, deployment, and monitoring.
  4. Leverage workflow orchestration tools to deploy efficient and scalable execution of complex data and ML pipelines.
  5. Review code changes from data scientists and champion software development best practices.

Required Skills and Qualifications:
  • B.S. in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field and 10+ years related experience; or M.S. with 8+ years of experience; or Ph.D with 6+ years of experience.
  • 3+ years experience developing and deploying machine learning solutions to production.
  • Familiarity with typical machine learning algorithms from an engineering perspective.
  • Experience building data platform product(s) or features with Apache Spark, Flink or comparable tools in GCP.
  • Proficiency in distributed computing and orchestration technologies (Kubernetes, Airflow, etc.).
  • Expert level experience with Python; Java/Scala exposure is recommended.

Benefits:
  • Competitive salary and benefits package.
  • Remote-first culture with flexible working arrangements.
  • Physical and mental wellness programs.
  • Paid parental leave, including adoption.
  • A variety of professional development and mentorship opportunities.

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