<span><p>🌍<strong> Remote | Long-term opportunity | Proxify</strong></p><p><br></p><p>Proxify connects talented tech professionals with long-term remote opportunities at leading companies across the<span></span><strong>USA, Sweden, Germany, the Netherlands, and beyond</strong>.</p><p>Since 2018, we’ve helped<span></span><strong>5,000+ developers</strong><span></span>find remote opportunities with<span></span><strong>1,200+ companies</strong>.</p><p>We believe great talent can work from anywhere — and that skills and experience matter more than location.</p><p><br></p><p><strong>📍 Important: You must be located in the Americas to be considered for this position.</strong></p><p><br></p><p>🚀<span></span><strong>About the role</strong></p><p>We’re looking for a<span></span><strong>Senior Risk Data Scientist</strong><span></span>to join a highly technical, product-focused team working on<span></span><strong>financial modeling, risk analysis, and cloud pricing</strong>.</p><p><br></p><p>This role is ideal for someone who combines:</p><ul><li>Strong<span></span><strong>Data Science and Python</strong><span></span>skills</li><li>Experience with<span></span><strong>risk management, quantitative finance, financial engineering, or similar fields</strong></li><li>Hands-on<span></span><strong>Data Engineering</strong><span></span>experience</li><li>The ability to turn complex models and ideas into<span></span><strong>real production systems</strong></li></ul><p>You’ll work with large-scale cloud and financial data, helping the team better understand and predict<span></span><strong>cloud usage, costs, risks, and financial outcomes across AWS and GCP</strong>.</p><p><br></p><p>💡<span></span><strong>What you’ll do</strong></p><ul><li>Develop and improve<span></span><strong>risk, pricing, and forecasting models</strong></li><li>Analyze and predict cloud usage and spending patterns across<span></span><strong>AWS and GCP</strong></li><li>Test different modeling approaches and improve existing models</li><li>Build and maintain reliable<span></span><strong>data pipelines</strong></li><li>Work with large financial, transactional, billing, cloud usage, and infrastructure datasets</li><li>Turn data science experiments into<span></span><strong>production-ready solutions</strong></li><li>Collaborate closely with<span></span><strong>Data Science, Engineering, Product, and other teams</strong></li></ul><p><br></p><p><strong>🎯 What we’re looking for</strong></p><p><strong>Essential experience</strong></p><ul><li>Strong professional experience in<span></span><strong>Data Science or Data Engineering</strong></li><li>Professional or academic background in<span></span><strong>risk management, quantitative finance, financial engineering</strong>, or a closely related quantitative field</li><li>Advanced<span></span><strong>Python</strong><span></span>skills</li><li>Strong knowledge of<span></span><strong>statistical modeling, forecasting, risk modeling, experimentation, and/or optimization</strong></li><li>Experience building quantitative models related to<span></span><strong>risk, pricing, financial outcomes, uncertainty, or time-series forecasting</strong></li><li>Ability to<span></span><strong>build, evaluate, troubleshoot, and improve predictive models</strong></li><li>Experience working with large-scale<span></span><strong>financial, transactional, cloud usage, infrastructure, or billing data</strong></li><li>Experience building and maintaining scalable<span></span><strong>data pipelines and data processing systems</strong></li><li>Experience taking models from<span></span><strong>experimentation to production</strong></li><li>Good understanding of<span></span><strong>data architecture, system design, and analytics infrastructure</strong></li><li>Strong<span></span><strong>ownership, independent problem-solving, and technical judgment</strong></li></ul><p><br></p><p><strong>⭐ Nice to have</strong></p><p><strong>It’s a plus if you have experience with:</strong></p><ul><li><strong>AWS and GCP</strong>, especially cloud usage, billing, or cost data</li><li><strong>FinOps, cloud cost optimization, cloud economics, or infrastructure pricing</strong></li><li><strong>Probabilistic modeling, financial forecasting, portfolio/risk analytics, or pricing models</strong></li><li><strong>TypeScript and/or Rust</strong></li><li><strong>Machine Learning workflows and MLOps</strong></li><li>Building<span></span><strong>customer-facing analytics or data-driven product features</strong></li><li>Using<span></span><strong>AI-assisted development and research tools</strong></li><li>Reading technical or academic research and turning useful ideas into practical solutions</li><li>Working in small, highly collaborative teams with strong<span></span><strong>written and verbal communication</strong></li></ul><p><br></p><p>🌎 Why work remotely with Proxify?</p><p>🚀 Grow your tech career</p><p>Get access to<span></span><strong>long-term remote opportunities</strong><span></span>with interesting product companies around the world.</p><p>🎯 Find roles that match your experience</p><p>We match your profile with relevant opportunities, so you don’t have to start from scratch every time.</p><p>🏡 Work from anywhere</p><p>All Proxify roles are<span></span><strong>100% remote</strong>, giving you the freedom to work without long commutes or being limited by your local job market.</p><p>⚡ Apply once, access multiple opportunities</p><p>You only need to go through the Proxify application process<span></span><strong>once</strong>. If you’re successful, we can recommend you for future roles that match your skills and experience.</p><p><br></p><p>💙 Ready to take the next step?</p><p>If you’re passionate about<span></span><strong>Data Science, quantitative modeling, risk, and building real-world solutions</strong>, we’d love to hear from you.</p><button><span><span><span>…</span><span> mais</span></span></span></button></span>