Cloudflare

Senior Data Scientist

Senior · Гибрид · Остин, США · Английский B2

Навыки

  • AI-агенты
  • AI-инструменты в работе
  • Big Data
  • BigQuery
  • Data Lake
  • Распределённые системы
  • DNS / DHCP
Ещё 13
  • Google Analytics
  • Маркетинговая стратегия
  • Machine Learning
  • Room / Realm / CoreData
  • Python
  • RAG
  • React
  • Роадмап
  • Spark
  • SQL
  • Статистика
  • Tableau
  • TypeScript

О компании и продукте

  • At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
  • At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
  • Available Locations: Austin, US

Задачи

  • Partner and align with business leaders, stakeholders, product managers and internal teams to understand the business and product challenges and goals and address them using predictive analytics in a globally distributed environment
  • Understand data landscape i.e tooling, tech stack, source systems etc. and work closely with the data engineering team 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
  • Strong audience focused presentation and storytelling skills focused on key takeaways in a crisp and concise manner
  • Define, implement, and train statistical, machine learning, deep learning and generative AI models
  • Use software engineering best practices to publish model scores/insights/learnings at scale within the company
  • Ability to define and spot macro and micro levels trends with statistical significance on a regular basis and understand key drivers driving those trends
  • Active role in hiring, growing, and mentoring the data scientist team in Austin

Требования

  • 5+ years of data scientist experience with proven industry experience in a large scale environment (PBs scale & globally distributed teams)
  • 2+ years experience with a fast-growing SaaS business based company is preferred
  • Proven track record of applying data insights and machine learning in order to address business needs and drive revenue

Будет плюсом

  • M.S or Ph.D in Computer Science, Statistics, Mathematics, or other quantitative fields
  • Strong experience working with business functions such as Finance, Sales, and Marketing to build models and drive impactful business outcomes (eg: customer and revenue growth)
  • Strong experience in scientific computing using Python
  • Experience with Spark, SQL, Tableau, Google Analytics, BigQuery (or any other Big data/Cloud equivalent) etc
  • Experience working with and processing structured, unstructured, and semi-structured data
  • Strong cross-functional collaboration experience with data engineering and data analysts teams within the function
  • Proficiency in large language models and the frameworks (Langchain, Langgraph, etc.) necessary for implementing GenAI applications, such as AI Agents, chatbots and related use cases
  • 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
  • Experience in hiring data scientists and establishing team best practices is preferred
  • 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 : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries 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 : In 2017, we created the 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
  • Since the project, we've provided services to more than 425 local government election websites in 33 states
  • 1.1.1.1 : We released 1.1.1.1 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!

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