Data Scientist II (Remote, CAN)

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 Role:

CrowdStrike’s CTO Labs team is expanding -- we are at the exciting intersection of Machine Learning, Big Data, and Security and are looking to add a Data Scientist specializing in machine learning to our growing team. You will have the opportunity to apply your coding, mathematical and scientific research skills to the bleeding edge of security technology. You’ll be able to leverage large-scale rich data to meaningfully improve our supervised learning models and refine our identification of malicious computer software and behavioral threats. CrowdStrike’s cybersecurity data is one-of-a-kind: we process nearly a trillion behavioral events per day and have over 2000 terabytes of malware samples in our research repository. We are a diverse and multidisciplinary team, and you’ll have the chance to broaden your horizons by working jointly with a team of Big Data, Machine Learning, and Security domain experts on hard and impactful problems.

What You'll Do:

• Mine large scale and high dimensional data, identify patterns, and visualize trends

• Create predictive models using supervised learning techniques to detect and stop the most sophisticated threats

• Innovate new semi-supervised and online learning techniques to enhance our threat detection capabilities and reduce nuisance false positives for our customers.

• Work closely with domain experts to improve our raw data and to derive more value from data collected

• Hone your ability to balance detail-oriented research with goal-oriented business objectives

• Implement and experiment with new algorithms and methodologies to help improve our machine learning models

• Automate and visualize analyses, results and processes in our machine learning pipeline

What You’ll Need:

• Ph.D. with significant AI/ML experience

• Masters with significant AI/ML experience and 1-2 years of work experience

• Undergrad with 2-4 years of AI/ML work experience

• Degree in a STEM field

• Extensive post/undergraduate experience in data science, machine learning, or any field employing computational science or data driven analyses

• Programming experience in Python

• 2+ year’s experience working on real world machine learning models and pipelines

Bonus Points:

• Passionate about cybersecurity, with a firm understanding of the problem space or passionate about applying your machine learning skillset to new domain areas such as cybersecurity

• Versed in utilizing Machine Learning techniques and familiar with the standard algorithms, their trade-offs, their usage, and how to tune them

• Have experience working on very large data sets of sparse high dimensional data and experience in pre-processing and analyzing such data to gain actionable insights

• An independent self-starter who likes to take ownership and independently seeks out new challenges

• Thirsty for knowledge and do not hesitate to step outside of your comfort zone to learn new technologies, algorithms and concepts

• Comfortable to dive into a Python codebase, including experience with unit testing and the python packaging ecosystem

• Comfortable and experienced working in a Linux environment in the AWS cloud

• Analytically minded: never afraid to drill down into a data-set, or debug-deeper into an unfamiliar codebase

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.