Cloudflare

Data Scientist, FinTech

Cloudflare

full-time

Posted on:

Location Type: Hybrid

Location: LisbonPortugal

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Tech Stack

About the role

  • Apply advanced statistical analyses and ML models to large datasets to solve challenges in Billing and Fraud
  • Lead the development of our foundational fraud detection framework
  • Drive innovation in our Billing systems by applying AI to unstructured data
  • Collaborate with Product, Engineering, Support and Finance teams
  • Leverage AI and NLP techniques to mine unstructured data
  • Proactively identify opportunities to transform data insights into new FinTech product features
  • Build and optimize robust data pipelines

Requirements

  • 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.
Benefits
  • 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.
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Remote work options
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
statistical analysismachine learningnatural language processingSQLPythondata pipelineslarge language modelsdata insightsAIunstructured data
Soft Skills
leadershipcommunicationcollaborationproblem-solvinginnovationnavigating ambiguitydriving impact
Certifications
MS in quantitative fieldPhD in quantitative field