Sr. Applied Data Scientist (Remote, IND)

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. 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 also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. 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 Team:

The CrowdStrike Malware Research Center is the core of Falcon’s malware detection and response capabilities. The team has a focus on understanding the threat landscape and sets the target for what Falcon should be identifying and preventing. Additionally, Malware Research Center (MRC) is responsible for understanding our capabilities, and mapping how well our machine learning and behavioral protection capabilities are doing against those threats. Where there is a gap, the MRC takes action to improve our detection stance, and improve our overall protection story. MRC also performs pathfinding research to enable technology development using innovation, prototyping and bleeding edge machine learning to support our flagship Falcon product. There are many parts of CrowdStrike working towards protecting customer environments, and the MRC works across all of them to ensure we are on target and providing the best protection for our current Threat landscape.

About The Role:

We seek an Applied data Scientist to build and evaluate ML models in the malware domain. This role bridges cybersecurity expertise with machine learning to combat evolving threats.

What You'll Do:

• Build and optimize ML models for malware detection with high accuracy and precision
• Conduct exploratory data analysis on threat datasets and behavioural data to identify patterns
• Perform feature engineering on malware static and behavioural data
• Design and maintain scalable data pipelines for processing large-scale threat data feeds
• Establish metrics and KPIs for measuring model effectiveness in production environments
• Collaborate with threat researchers and engineers to develop and deploy effective ML solutions
• Conduct model evaluations across diverse threat scenarios.
  
  

What You’ll Need:

• Bachelor's or Master's in Data Science or Computer Science
• 10+ years of combined experience in Data Science
• Proficiency in Python, data manipulation, visualization and modeling
• Large-scale data processing experience on cloud platforms like Azure, AWS or GCP
• Understanding of distributed computing like Ray, Apache Spark
• SQL (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Elasticsearch)
• Understanding of workflow orchestration platforms (Airflow), ML lifecycle management tools (MLflow)
• Understanding in ML Operations like model deployment, monitoring, version control for machine learning projects
• Demonstrates strong interpersonal communication skills and builds productive relationships with stakeholders at all levels
  
  

Bonus Points:

• Experience in creating threat detection ML models for security products
• Strong interest in cybersecurity with foundational knowledge of security research
• Understanding of different executable and non-executable file formats
• Understanding of malware behavioural analysis on Windows/Mac/Linux and system internals
  
  

Benefits Of Working At CrowdStrike:

• Remote-friendly and flexible work culture
• 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 recruiting@crowdstrike.com for further assistance.

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Bonus Points:

• Experience in creating threat detection ML models for security products
• Strong interest in cybersecurity with foundational knowledge of security research
• Understanding of different executable and non-executable file formats
• Understanding of malware behavioural analysis on Windows/Mac/Linux and system internals