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Senior Data Scientist

Build scalable AI/ML models and applications at Cloudflare, collaborating with cross-functional teams in a hybrid work environment.

Location
Hybrid
Compensation
Not disclosed
Level
senior
Type
full time · Hybrid

Posted by employer 7 months ago

First seen on Joblaze 3 months ago

Last verified on the company career page 2 hours ago

AI in the day-to-day

Many of our applications incorporate strong AI components, giving you opportunities to work with modern AI infrastructure and tools.

Requirements

Experience
5+ years
Education
Master's degree
Visa
Sponsorship available

Not disclosed in this posting: compensation.

Joblaze summary

In this role, the Senior Data Scientist at Cloudflare will develop and implement scalable AI and machine learning models to enhance the company's data-driven decision-making processes. Proficiency in Python, experience with large-scale data systems, and familiarity with AI tools are essential for success. This position is ideal for seasoned professionals with a strong background in data science, particularly those who have worked in fast-paced SaaS environments. The team operates at the intersection of data platforms and product development, emphasizing collaboration and innovation.

Joblaze insights

  • Listed about 3 months ago — first seen on Joblaze June 23, 2026. Last confirmed on Cloudflare's careers page October 10, 2026.
  • Python appears in 58.7% of 235 comparable senior data science roles; TypeScript appears in 0.4% of 235 comparable senior data science roles.

Quick facts

Is the Senior Data Scientist role remote?
It's hybrid — Cloudflare expects some on-site time in Hybrid.
How much experience is required?
At least 5 years of relevant experience for this Senior Data Scientist role.
Where is the role based?
Cloudflare is hiring for this position in Hybrid.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML, BigQuery, Generative AI, Google Analytics, Python, React.
Does Cloudflare sponsor work visas for this role?
Yes — the posting indicates visa sponsorship is available for the right candidate.
What seniority level is this role?
Cloudflare targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Senior Data Scientist role at Cloudflare.

From the original posting

About Us

Available Locations: Austin, US

About the Role

The Data Intelligence & Analytics organization builds the core data platform and internal products that power decision-making across the company. We design and operate large-scale data systems, own the company’s data lake, ingestion infrastructure, and platform tooling, and develop end-to-end applications that transform complex datasets into fast, reliable, business-critical products used daily by go-to-market, product, and engineering teams. Our work sits at the intersection of data platforms, distributed systems, and product development, giving engineers the opportunity to own meaningful problems across the stack and build systems that truly run the business.

You will focus on building scalable, reliable AI/ML models, services and GenAI powered application backends, partnering closely with data and full-stack engineers to deliver new features and operate the pipelines and platforms behind our products. Our stack spans multiple languages and technologies, including Python, React, and TypeScript, and continues to evolve. Many of our applications also incorporate strong AI components, giving you opportunities to work with modern AI infrastructure and tools such as vector databases, MCP-based services, and Workers AI.

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.

Desirable Skills, Knowledge, and Experience

  • 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.

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?

Standard company text repeated across Cloudflare's postings is omitted here.

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