Senior Security Data Scientist

Ready to advance your career in the fast-paced, thrilling world of cybersecurity? Arctic Wolf, valued as a unicorn company, is the frontrunner in security operations within the dynamic and rapidly expanding cybersecurity industry. We have received numerous awards for our superior performance in security operations and remain committed to providing an unparalleled customer and employee experience. Our mission is straightforward: Eradicate Cyber Risk. We're seeking a Senior Security Data Scientist to contribute to making this a reality. About the role Data forms a crucial part of Arctic Wolf Network's mission to resolve cyber risk. We process and scrutinize hundreds of billions of events every day to detect malicious and risky activity. Additionally, we're passionate about data and addressing cybersecurity challenges for our clients. The AI & Data Science team focuses on analyzing Arctic Wolf's product platforms, internal business hurdles, and customer difficulties to develop new products and features. As a Senior Security Data Scientist in the AI & Data Science team, you'll be responsible for providing the company with technical leadership and creating innovative solutions using state-of-the-art advanced analytics techniques. This involves collaborating closely with engineering, product, operations, and other teams to comprehend the most critical technical and business analytics needs to drive security-focused analytics outcomes. A successful candidate is self-driven with a passion for excellence and attention to detail. About you - Excellent command of Python and advanced SQL - Proven history in research, data science, and engineering concerning building and shipping machine learning or statistical models scalable to massive volumes of data (billions of data points) - Proven experience with key ML libraries including scikit-learn, tensorflow, pytorch, sparkml - Proven experience with data fusion and data purifying techniques for generating labelled data sets - Solid understanding of classical ML and DNN modeling techniques for supervised and unsupervised learning, and sequence modeling. - Strong understanding of 3 of either PGMs, RL, GNN, statistical modeling, or time series modeling - Strong understanding of ensembles and multi-modal machine learning techniques to solve complex problems - Experience in developing synthetic data sets using generative and statistical modeling techniques - Familiarity with large-scale distributed systems and related technologies such as Spark, Elasticsearch, Kubernetes, etc. - Familiarity with cloud platforms (we use AWS here) and automation technologies (e.g., Kubernetes, Jenkins, Chef, etc.) is a plus - Familiarity with the information/cybersecurity domain is a plus Responsibilities - Analyze and correlate intricate data from multiple sources - Perform exploratory data analysis to gain a deeper understanding of the data - Collaborate with stakeholders, including domain experts and product, to comprehend use cases and domain-specific problems and identify opportunities for applying machine learning to drive outcomes - Develop tools and algorithms for generating synthetic data sets - Define KPIs to measure model performance - Develop and test statistical and machine learning models for efficacy and operational impact - Write production-quality code and collaborate with other software engineering teams to deploy models into production - Support deployed models as a subject matter expert - Be innovative and design novel features and methods to push beyond our current capabilities About Arctic Wolf At Arctic Wolf, we're fostering a collaborative and productive work environment that welcomes diversity of backgrounds, cultures, and ideas, making our teams even stronger as we expand globally. We've been named one of the 50 Most Innovative Companies in the world for 2022 (Fast Company)—and the 2nd Most Innovative Security Company. Plus, we've received consecutive awards from Top Workplace USA (2021, 2022), Best Places to Work - USA (2021, 2022), and Great Place to Work - Canada (2021, 2022). Our Values At Arctic Wolf, we realize that success originates from delighting our customers, so we collaborate to ensure we achieve this every day. We value diversity and inclusion and truly appreciate the distinct qualities each employee brings to the company. We respect the fact that by protecting the sensitive data of individuals and organizations and ending cyber risk, we're working in an industry vital to the common good. We celebrate unique perspectives by creating a platform for all voices, encouraged through our Pack Unity program. We enthuse all employees to join or initiate new alliances. More about our Pack Unity can be found here. Moreover, we believe in and practice corporate responsibility and have recently joined the Pledge 1% Movement, committing that we persist in giving back to our community. We understand that through our mission to End Cyber Risk, we will continually engage and give back to our communities. All Arctic Wolf employees receive comprehensive benefits packages, including: - Equity for every employee - Bonus or commission pay based on the role - Flexible time off, paid volunteer days, and paid parental leave - 401k match - Medical, Dental, and Vision insurance - Health Savings and Flexible Spending Agreement - Voluntary Legal Insurance - Training and career progression programs Arctic Wolf is an Equal Opportunity Employer, considering applicants for employment without discrimination due to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any basis prohibited under federal, provincial, or local law. Arctic Wolf remains committed to creating a welcoming, accessible, respectful, and inclusive environment, ensuring equal access and participation for people with disabilities. We strive to make our entire employee experience as accessible as possible and provide accommodations for applicants and employees with disabilities and/or specific needs wherever possible. Any accommodation requirements can be sent to [email protected]. Security Requirements - Conducts duties and responsibilities in line with AWN's Information Security policies, standards, processes, and controls to ensure the confidentiality, integrity, and availability of AWN business information (as per our employee handbook and corporate policies). - Background checks are necessary for this position. We welcome you to join the Pack during this exciting period of rapid growth, where every employee makes a difference, and their contributions are acknowledged and recognized.