Job Description

Python for analysis and modeling, taking advantage of numpy and pandas for data wrangling. Jupyter notebooks (locally and remotely hosted) as a computational environment Sci-kit learn for building machine learning models Anomaly detection methods to make sense of unlabeled data AWS for hosting our research environments, data, POCs and features EKS to deploy applications Terraform to manage infrastructure About the Role As a Manager in the AI Center of Excellence you will be hiring and empowering a team of Data Scientists and AI Engineers to conduct research into new security detections, enhancing existing models that power product features, and building prototypes of their work to share and get feedback. You will work closely with our product and engineering teams to transform this research and these proofs of concept into shipped and deployed product features. Our Python based research uses data sets of all sizes, from a few thousand records, to many billions, covering everything from user behavior to network topology to asset characteristics. The team you manage will work with partners to transform all of this data into output that will be used directly by security analysts in our SOC and customers through our products to identify threats, and will be used directly by our products and systems to make our resource constrained teams and partners more efficient. In this role, you will: Work with local talent acquisition partners to hire a team of skilled Data Scientists and AI Engineers Once the team has been assembled, you will plan out and prioritize their work, as well as work with other AI and product teams to coordinate delivery Lead a daily standup meeting to keep team members on track and up to date, as well as learn about and help address blockers Have weekly one on one meetings with the members of your team, and deliver continuous performance feedback to help them develop Work closely with the Product Management team to plan out and execute research and engineering roadmaps Connect the members of your team to members of the wider AI Center of Excellence team, as well as to members of other supporting teams, when problems arise Actively track progress on roadmap goals, proactively identifying potential delays or issues Keep your security knowledge and data analysis skills up to date and in line with the work your team is doing The skills you'll bring include: 5+ years experience in managing engaged and high performing engineering or data science teams with a track record in developing and mentoring engineers of all levels Experience building engineering teams from the ground up A demonstrable passion for engineering and scientific excellence A solid pulse on the security landscape A customer centric approach with the ability to drive that throughout your teams, understanding the customers needs and drivers and putting the customer at the forefront of all decision making A History of demonstrating a team-based approach to problem solving A strong sense of ownership and responsibility for the quality of the work your team produces Strong cross-functional skills, with the ability and desire to build relationships with other teams including Product Management, UX and engineering teams to achieve broader company objectives Experience with managing multiple, high-impact projects Capable of managing through high-intensity situations when they arise BEng, BSc or related technical field or equivalent practical experience Experience with the following would be advantageous: Relevant experience in predictive modeling, anomaly detection, including recent Python experience with an ability to work independently with minimal guidance Expertise with tools such as Jupyter, pandas, sci-kit learn and git Experience with Sagemaker and AWS services Experience in the security industry Experience building data science pipelines at scale (in AWS) Shipped, managed, and improved models in production