Forward-Deployed Data Scientist

<div class="content-intro"><p>At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.</p> <p>We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.</p> <p>To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.</p> <p>Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.</p> <p>If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you.</p></div><p><strong>WHAT YOU'LL DO</strong></p> <p>Our Data Scientist, AI Deployment team is a group of creative technical experts who design and build end-to-end machine learning solutions that power 1-to-1 personalization for some of the world's leading brands. In this role, you will:</p> <ul> <li><strong>Design RL use cases from the ground up</strong> — scoping solutions that optimize for real business value, accounting for the complexity of modern marketing journeys, and proactively identifying risks to set each engagement up for success</li> <li><strong>Build and own the full ML pipeline</strong> —  taking customers' raw data through transformation, model training, and activation, so that model decisions are delivered to personalize experiences for millions of end users</li> <li><strong>Drive customer success</strong> by being providing ongoing technical guidance that ensures data science performance, successful adoption and measurable outcomes</li> <li><strong>Extend product capabilities</strong> by developing features and tools that support the broader AI deployment team and scale what's possible across engagements</li> <li><strong>Partner with the Braze Product team</strong> to refine and advance Braze's reinforcement learning algorithms, pushing the self-learning capabilities of the platform forward</li> <li><strong>Shape BrazeAI product strategy and roadmap</strong> by bringing customer-facing insights and deep technical expertise to the table</li> </ul> <p><strong>WHO YOU ARE</strong></p> <ul> <li>Educatio