About the Role
We're seeking a Data Scientist to join our FinTech Data Science team. In this role, you will apply advanced statistical analyses and ML models to large datasets to solve challenges in Billing and Fraud. You will lead the development of our foundational fraud detection framework, building the initial ML models to mitigate financial risk. In addition, you will drive innovation in our Billing systems by applying AI to unstructured data to improve user experience. If you are excited to use data to not only optimize our operations but to discover and build the next generation of FinTech products, we would love to hear from you!
The ideal candidate will possess a strong foundational knowledge of data science principles and statistical modeling. Day-to-day responsibilities include:
- Collaborate with Product, Engineering, Support and Finance teams to translate complex business requirements into scalable data science solutions for Billing and Fraud
- Lead the design and implementation of foundational Machine Learning models to detect financial anomalies, abuse patterns, and fraud risks
- Leverage AI and NLP techniques to mine unstructured data, such as support logs and user feedback, to identify friction points and uncover hidden improvements in our billing systems
- Manage the full lifecycle of our models, from exploratory analysis and feature engineering to validation, deployment, and monitoring in production
- Proactively identify opportunities to transform data insights into new FinTech product features or strategic business initiatives
- Build and optimize robust data pipelines ensuring data is discoverable and easy to query
Required skills, knowledge, and experience:
- MS/PhD in a quantitative field (CS, Statistics, Math, etc.) with 5+ years of industry experience
- Strong knowledge and hands-on experience in machine learning and statistics
- Experience using LLMs to extract actionable insights from unstructured data
- Proficiency in SQL and Python
- Hands-on experience building and maintaining data pipelines
- Experience deploying machine learning models into production environments
- Ability to navigate ambiguity and lead the development of foundational products from scratch
- Excellent communicator, with a focus on driving impact
Bonus Points
- Experience in FinTech
- Experience working on fraud or support related problems
- Experience building AI agents
Top Skills
What We Do
Cloudflare, Inc. (NYSE: NET) is the leading connectivity cloud company on a mission to help build a better Internet. It empowers organizations to make their employees, applications and networks faster and more secure everywhere, while reducing complexity and cost. Cloudflare’s connectivity cloud delivers the most full-featured, unified platform of cloud-native products and developer tools, so any organization can gain the control they need to work, develop, and accelerate their business.
Powered by one of the world’s largest and most interconnected networks, Cloudflare blocks billions of threats online for its customers every day. It is trusted by millions of organizations – from the largest brands to entrepreneurs and small businesses to nonprofits, humanitarian groups, and governments across the globe.
Why Work With Us
Cloudflare employees come from all walks of life. We are mission-driven, and our team is energized by a collaborative, creative environment that celebrates our differences and fosters new ways to grow together.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We are committed to developing a global team that is distributed with a flexible working approach. Doing this equitably and inclusively is essential to our success. Visit our careers site for more on 'How & Where We Work.'
