Manager, Data Science (Remote)

#WeAreCrowdStrike and our mission is to stop breaches. As a global leader in cybersecurity, our team changed the game. Since our inception, our market leading cloud-native platform has offered unparalleled protection against the most sophisticated cyberattacks. We’re looking for people with limitless passion, a relentless focus on innovation and a fanatical commitment to the customer to join us in shaping the future of cybersecurity. Consistently recognized as a top workplace, CrowdStrike is committed to cultivating an inclusive, remote-first culture that offers people the autonomy and flexibility to balance the needs of work and life while taking their career to the next level. Interested in working for a company that sets the standard and leads with integrity? Join us on a mission that matters - one team, one fight. About the Role: CrowdStrike’s Data Science team is expanding -- we are at the exciting intersection of Machine Learning, Artificial Intelligence, and Security and are looking to add a Data Science Manager 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 over 1 trillion behavioral events per day and have petabytes 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. CrowdStrike has always been industry pioneer in its use of Machine Learning and Artificial Intelligence: from our first to market use of ML for malware classification, to our cutting-edge Generative AI powered natural-language interface, Charlotte. What You’ll Do: Build a team of machine learning practitioners that can balance detail-oriented research with goal-oriented business objectives 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 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: Undergraduate or post-graduate degree in a STEM field 8+ Years of post-undergraduate experience in data science, machine learning, or any field employing computational science or data driven analyses 2+ Years of direct management experience, or several years of ‘dotted-line’ leadership experience Programming experience in Python, Rust, R, or MatLab to match (preference in that order); must be comfortable and experienced working in a Linux environment in the AWS cloud and have an appreciation for the software development lifecycle and best practices An independent self-starter who likes to take ownership and independently seeks out new challenges; someone who is thirsty for knowledge and do not hesitate to step outside of your comfort zone to learn new technologies, algorithms and concepts 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 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 Bonus if You Are: Versed in utilizing Machine Learning techniques for consumer software products, including the development of KPIs for managing product success. A security industry veteran, with experience building classifiers to identify malware or malicious websites Deep experience and knowledge of major modern operating systems and their software ecosystems including both Windows and MacOS

#LI-RC1

#LI-Remote Benefits of Working at CrowdStrike: Remote-first culture Market leader in compensation and equity awards Competitive vacation and flexible working arrangements Comprehensive and inclusive health benefits Physical and mental wellness programs Paid parental leave, including adoption A variety of professional development and mentorship opportunities Offices with stocked kitchens when you need to fuel innovation and collaboration We are committed to fostering a culture of belonging where everyone feels seen, heard, valued for who they are and empowered to succeed. Our approach to cultivating a diverse, equitable, and inclusive culture is rooted in listening, learning and collective action. By embracing the diversity of our people, we achieve our best work and fuel innovation - generating the best possible outcomes for our customers and the communities they serve. CrowdStrike is committed to maintaining an environment of Equal Opportunity and Affirmative Action. If you need reasonable accommodation to access the information provided on this website, please contact View email address on click.appcast.io, for further assistance. CrowdStrike participates in the E-Verify program. Notice of E-Verify Participation Right to Work CrowdStrike, Inc. is committed to fair and equitable compensation practices. The base salary range for this position in the U.S. is $130,000 - $205,000 per year + variable/incentive compensation + equity + benefits. A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications and location. CrowdStrike Canada ULC is committed to fair and equitable compensation practices. The base salary range for this position in Canada is $130,000 - $210,000 CAD per year + variable/incentive compensation + equity + benefits. A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications and location. Expected Close Date of Job Posting is:02-21-2024 #J-18808-Ljbffr CrowdStrike