Fastly helps people stay better connected with the things they love. Fastly’s edge cloud platform enables customers to create great digital experiences quickly, securely, and reliably by processing, serving, and securing our customers’ applications as close to their end-users as possible — at the edge of the Internet. The platform is designed to take advantage of the modern internet, to be programmable, and to support agile software development. Fastly’s customers include many of the world’s most prominent companies, including Vimeo, Pinterest, The New York Times, and GitHub.

We're building a more trustworthy Internet. Come join us.

Please note: You MUST CURRENTLY reside in North America to be considered for this position

The Fastly Security Products Engineering group develops and operates next generation security capabilities in the Fastly and Signal Sciences platforms. We’re looking for an experienced data analyst to play a foundational role in driving data insights into our anti-automation and anti-fraud products. In this role, you’ll solve data-oriented puzzles whose solutions have an immediate, tangible impact on internet security. You’ll be instrumental in defining our growing product lines, and working with our engineering teams to protect our customers. You’ll analyze existing datasets, design systems and define protocols for new analysis, advise engineering on analytics platform design, and work with our customer security operations teams to improve the quality of Fastly’s anti-automation and anti-fraud solutions.

The insights you provide will guide the path of our existing- and future- bot-management and anti-fraud products. You will have the autonomy and support to experiment, improve and ultimately define the future of the processes you are responsible for. As a Senior Data Analyst on the Security Product Engineering team, you will provide mentorship as well as help us shape patterns, standards, and methodologies for the wider engineering organization.

Work Location(s) & Travel Requirements:

This position is a remote role and open to candidates residing in the following locations: US (Remote).

In a remote position, you may not reside within a commutable distance to a Fastly office.

This position may require travel approximately 2-4 times per year as requested by your manager.

What You'll Do

• Detect automated attacks through analysis of disparate, large-scale data sources available at Fastly
• Advise on data pipeline engineering and data analytics platform design
• Advise customer security operations teams on complex customer issues
• Work closely anti-automation and anti-fraud engineering teams on design of data collection and attack mitigations
• Identify key metrics for driving product goals, and advise on system design to track them
• Collaborate with our security research team to understand cutting-edge attacks and defensive techniques
• Mentor teams in everything from analysis to solving complex problems with data
• Promote a data culture through data-driven product insights

What We're Looking For

Basic Qualifications:

• You have at least 5 years of hands-on experience in a data analysis or data mining role

Ability to apply contemporary data analytics and data science languages and technologies to solve business problems

• Strong SQL skills: capable of complex, efficient, and maintainable SQL to accomplish data analysis goals. A major plus if you have hands-on experience in building and managing data transformations.
• Experience with cloud warehouse technologies, such as BigQuery
• Experience with data visualization tools
• Ability to analyze data from disparate sources applying statistical techniques as needed
• Ability to execute effectively with a distributed team.
• Ability and drive to become a subject matter expert in automated web- and network- attacks and defenses.
• Ability to program in an imperative language; ability and drive to learn new languages as needed.

Preferred Qualifications:

• Functional knowledge of bot management, anti-fraud or related fields such as digital advertising or real-user monitoring
  Experience applying machine learning to related detection problems
• Apache Spark and MLlib, e.g. via Scala or Python bindings
• Model training using Google Compute Platform AutoML or Vertex AI Workbench
• Jupyter Notebooks
• Understanding of adversarial traffic classification, mitigation techniques, and associated ecosystems
• Experience in data analysis to support platform operations (Prometheus, Grafana, etc.)
• Experience in software development with golang, Javascript, or Rust
• Data privacy or information security expertise
• Experience delivering results in an IaC culture
• Experience with CDNs, proxies, or edge computing technology