Senior Security Data Scientist, Arctic Wolf
Computer and network security
Job no longer available
Computer and network security
1001+ employees
Job no longer available
1001+ employees
Company mission
To end Cyber Risk through effective security operations.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
Founded in 2021, Arctic Wolf has emerged as a pivotal player in cybersecurity with its concierge approach to Security Operations as a Service (SOCaaS). Arctic Wolf addresses the challenges of managing diverse cybersecurity systems and combating alert fatigue through its cloud-managed detection and response solutions.
Two of the many challenges facing digital enterprises are: having to manage dozens of different complex cybersecurity systems, and knowing what is actionable and an immediate threat (known as alert fatigue). Arctic Wolf’s platform offers cloud-managed detection and response systems, continual risk management and security awareness, solving both challenges.
Arctic Wolf's platform is now a top choice for organisations seeking streamlined security through unified technology. With 5,200 global organisations onboard, Arctic Wolf sets cybersecurity benchmarks, utilising advanced AI and open-XDR architecture to analyse over 5.23 trillion security events weekly.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
18% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Oct 2022
$401m
CONVERTIBLE
Jul 2021
$150m
SERIES F
Total funding: $899.2m
Company benefits
- Equity For All Employees: Our salary and benefits packages always include equity, so every employee has a stake in the company’s success
- Pack Unity: We’re on a mission to foster a diverse, equitable, and inclusive workplace and to create positive change in and out of the office
- Professional Development: Arctic Wolf mentors and trains its employees to help their career growth, and encourages and supports employee efforts to enhance their skills and competency through coursework and training
- Flexible Paid Time Off: Arctic Wolf believes that employees should have the opportunity to enjoy time away from work on a flexible basis. Employees are given accountability and authority within their job responsibilities, why not with their flexible time off? We encourage diversity and the ability for you to celebrate the days in the year that are important to you
- Family Forming Benefits: Your family is a part of our Pack, which is why in addition to comprehensive health benefits, we provide access to personalized family-forming support for employees exploring fertility health, those pursuing parenthood, those already pregnant, and other family related benefits
- Volunteer Time Off: As we seek to End Cyber Risk, we also seek to give back to the communities around us, so the world is a safer and better place for all to thrive. All pack members have 3 days of volunteer time off (VTO) to use to give back to their communities in a way that is meaningful to them
Company HQ
Eden Prairie, Minnesota
Leadership
Nick Schneider
(President & CEO)Joined Arctic Wolf in 2016 as the Head of Worldwide Sales and worked their way through the roles to become CEO in 2021. Previously the vice-president of sales for Code42.
Brian NeSmith
(Founder)Previously the president and CEO of Blue Coat Systems, Inc.
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