Data Scientist - Managed Rules
Lisbon or London
Posted 1 month ago
About The Team
The Managed Rules Team is working on building the best in class Web Application Firewall (WAF). We do this by maintaining the rules that make up the WAF (based on wirefilter) and proactively looking for the next vulnerabilities across levels 3-7 of the OSI Model. We can do this by using our massive amounts of data, and work in tandem with vendors to add WAF-based protections before vulnerabilities are disclosed. We accomplish these goals by building the next generation of tools to quickly identify and address vulnerabilities. In response our tooling enables us to iterate quickly on rules, as well as deploying with confidence to our millions of customers. We are a polyglot team that utilizes Rust, Go, and Python to build our services and tools.
This is a senior role. Part of helping spin up this team is to define the responsibilities. This includes crafting the KPIs, desired outputs for data science in the context of the WAF team’s goals, as well as milestones and implementation details. We anticipate a diverse set of additional responsibilities that includes the following:
- Partner with product managers, data engineers, and other key stakeholders in understanding the need for data insights and predictive analytics in the area of security and fraud detection in a globally distributed environment.
- Understand data landscape i.e tooling, tech stack, source systems etc. and work closely with the Managed Rules engineers to improve the data collection and quality.
- Understand business/product strategy and high-level roadmap and align analysis efforts to enable them with data insights and help achieve their strategic goals.
- Ability to define and spot macro and micro levels trends with statistical significance on a regular basis and understand key drivers driving those trends.
- Define, implement, and train statistical, machine learning, and deep learning models.
- Use software engineering best practices to publish model scores/insights/learnings at scale within the company and externally as part of our Security thought leadership.
Understand data landscape, i.e tooling, tech stack, source systems and work closely with the data engineers and machine learning engineers to improve the data collection and quality.
- M.S or Ph.D in Computer Science, Statistics, Mathematics, or other quantitative field.
- 5+ years of data scientist experience with proven industry experience in a large scale environment (PBs scale, globally distributed teams).
- Strong experience in scientific computing using Python, Scala, or equivalent.
- Experience with Spark, SQL, Tableau, Google Analytics, Hive and BigQuery (or any other Big data/Cloud equivalent).
- Experience in defining, implementing, and training statistical, machine learning, and deep learning models.
- Experience in using software engineering best practices to publish modelscores/insights/learnings atscale within the company.
- Proven ability to define and spot macro and micro levels trends with statistical significance on a regular basis and understand key drivers driving those trends.
- Experience working with and processing structured, unstructured, and semi-structured data.
- Proven track record of applying data insights and machine learning in order to address business needs and drive revenue.
- Strong communication and presentation skills catered to different audiences within the company.
- Capable of working closely with business, engineering, and product teams to ensure data initiatives are aligned with business needs.
- Strong data analytical skills, taking initiative in deriving data insights and thread intelligence, and proposing models and solutions that can lead to quick and effective proof-of-concept (POC).
- Strong audience-focused presentation and storytelling skills focused on key takeaways in a crisp and concise manner.
Nice To Haves
Experience with cyber security, fraud detection, Internet & network protocols
- Experience in productizing machine learning models
- Familiarity writing and optimizing advanced SQL queries in Clickhouse
- Good Linux/UNIX systems knowledge
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo: We equip politically and artistically important organizations and journalists with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project: We created Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration.
Path Forward Partnership: Since 2016, we have partnered with Path Forward, a nonprofit organization, to create 16-week positions for mid-career professionals who want to get back to the workplace after taking time off to care for a child, parent, or loved one.
22.214.171.124: We released 126.96.36.199 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
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