
Data Scientist, FinTech
Cloudflare
full-time
Posted on:
Location Type: Hybrid
Location: Lisbon • Portugal
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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