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Senior Data Scientist

Cloudflare· Business Intelligence
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Hybrid (Austin, US)full-timePosted 7mo ago

About the role

Senior Data Scientist focusing on scalable, reliable AI/ML models and GenAI-powered backends within Cloudflare’s Data Intelligence & Analytics organization. Hybrid role based in Austin, US, partnering with data and full-stack engineers to transform data into trusted, business-critical insights and applications.

Responsibilities

  • 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.

Qualifications

  • M.S or Ph.D in Computer Science, Statistics, Mathematics, or other quantitative fields.
  • 5+ 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)
  • 2+ years experience with a fast-growing SaaS business based company is preferred.
  • 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.
  • 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 (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.

Skills

Required:Predictive analyticsStatistical modelingPython
Nice to have:Spark

Benefits

  • 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
Last updated Sep 2, 2026. Interested? Apply on the company site.

About Cloudflare

Connect, protect, and build everywhere | Cloudflare

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