Data Scientist

About Us At Cloudflare, we have our eyes set on an ambitious goal: to help build a better Internet. Today the company runs one of the world’s largest networks that powers approximately 25 million 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. We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based on an evaluation of their potential and support them throughout their time at Cloudflare. Come join us! About the Department The BI team builds and operates the cloud data analytics platform for Cloudflare. We are responsible for building a centralized cloud data analytics platform using open source technologies that will be used by our internal Business Partners and Machine Learning teams. Our goal is to democratize data, support Cloudflare’s critical business needs, provide reporting and analytics self-service tools to fuel existing and new business critical initiatives. What You'll Do 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, and deep learning 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 helping to hire, grow, and mentor the data scientist team in Austin. Examples of Desirable Skills, Knowledge and Experience M.S or Ph.D in Computer Science, Statistics, Mathematics, or other quantitative fields is required. Minimum 3 years of data scientist experience with proven industry experience in a large scale environment (PBs scale & globally distributed teams) 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) Minimum 2 years experience with a fast-growing SaaS business based company is preferred. Strong experience in scientific computing using Python, R, or Scala. Experience with Spark, SQL, Tableau, Google Analytics, Hive and 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. Proven track record of applying data insights and machine learning in order to address business needs and drive revenue. Proficiency in large language models and the frameworks necessary for implementing GenAI applications, such as 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. Compensation Compensation may be adjusted depending on work location. For Colorado-based hires and Washington hires: Estimated annual salary of $140,000 - $172,000 For New York City-based and California (excluding Bay Area): Estimated annual salary of $158,000 - $193,000 For Bay Area-based hires: Estimated annual salary of $166,000 - $202,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave 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.