Senior Security Data Scientist
Ready to further your career in the fast-paced, exciting world of cyber security?
Arctic Wolf, with its unicorn valuation, is the leader in security operations in an exciting and fast-growing industry—cybersecurity. We have won countless awards for our excellence in security operations and remain dedicated to providing an industry-leading customer and employee experience.
Our mission is simple: End Cyber Risk. We’re looking for a Senior Security Data Scientist to be part of making that happen.
About the role
Data is a critical part of Arctic Wolf Network’s mission to solve cyber risk, where we process and analyze hundreds of billions of events every day to look for malicious and risky behaviour. Furthermore, we’re geeks at heart and are passionate about data and solving cybersecurity problems for our customers. The AI & Data Science team works on analyzing Arctic Wolf’s product platforms, internal business challenges, and customer pain points to develop new products and features for our customers.
As a Senior Security Data Scientist on the AI & Data Science team you will be responsible for providing the company with technical leadership and developing novel solutions leveraging cutting-edge advanced analytics techniques. This involves working closely with engineering, product, operations, and other teams to understand the most important technical and business analytics needs to drive security-centric analytics outcomes. A successful candidate is self-motivated with a passion for excellence and attention to detail.
Excellent grasp of Python and advanced SQL
Proven track record in the research, data science and engineering around building and shipping machine learning or statistical models that scale to high volumes of data (billions of data points)
Proven experience using key ML libraries including scikit-learn, tensorflow, pytorch, sparkml
Proven experience with data fusion and data cleansing techniques for creating labelled data sets
Strong understanding of classical ML and DNN modelling techniques for supervised and unsupervised learning and sequence modelling.
Strong understanding of 3 of either PGMs, RL, GNN, statistical modelling, or time series modelling
Strong understanding of ensembles and multi modal machine learning techniques to solve complex problems
Experience with developing synthetic data sets using generative and statistical modelling techniques
Familiarity of 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/cyber security domain is a plus
Analyze and correlate complex data from multiple sources
Perform exploratory data analysis to gain deeper understanding of the data
Work with stakeholders, including domain experts and product, to understand 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 work with other software engineering teams to deploy models into production
Support deployed models as a subject matter expert
Be creative and engineer novel features and methods to push beyond our current capabilities
About Arctic Wolf
At Arctic Wolf we’re cultivating a collaborative and productive work environment that welcomes a diversity of backgrounds, cultures, and ideas to make our teams even stronger as we grow 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. This is in addition to consecutive awards from Top Workplace USA (2021, 2022), Best Places to Work - USA (2021, 2022) and Great Place to Work - Canada (2021, 2022).
Arctic Wolf recognizes that success comes from delighting our customers, so we work together to ensure that happens every day. We believe in diversity and inclusion, and truly value the unique qualities and unique perspectives all employees bring to the organization. And we appreciate that—by protecting people and organizations’ sensitive data and seeking to end cyber risk— we get to work in an industry that is fundamental to the greater good.
We celebrate unique perspectives by creating a platform for all voices to be heard through our Pack Unity program. We encourage all employees to join or create a new alliance. See more about our Pack Unity here.
We also believe and practice corporate responsibility, and have recently joined the Pledge 1% Movement, ensuring that we continue to give back to our community. We know that through our mission to End Cyber Risk we will continue to engage and give back to our communities.
All wolves receive compelling compensation and benefits packages, including:
Equity for all employees
Bonus or commission pay based on role
Flexible time off, paid volunteer days and paid parental leave
Medical, Dental, and Vision insurance
Health Savings and Flexible Spending Agreement
Voluntary Legal Insurance
Training and career development programs
Conducts duties and responsibilities in accordance with AWN’s Information Security policies, standards, processes and controls to protect the confidentiality, integrity and availability of AWN business information (in accordance with our employee handbook and corporate policies).
Background checks are required for this position.
Come join the Pack during this exciting time of rapid growth where every employee makes a difference and their contributions are recognized and rewarded.