Data Scientist, AI Deployment

About this role

<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>Design ML use cases from the ground up — 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>Build and own the full ML pipeline —  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>Drive customer success by providing ongoing technical guidance that ensures data science performance, successful adoption, and measurable outcomes</li> <li>Extend product capabilities by developing features and tools that support the broader AI deployment team and scale what's possible across engagements</li> <li>Partner with the Braze Product team to refine and advance Braze's reinforcement learning algorithms, pushing the self-learning capabilities of the platform forward</li> <li>Shape BrazeAI product strategy and roadmap by bringing customer-facing insights and deep technical expertise to the table</li> </ul> <p><strong>WHO YOU ARE</strong></p> <ul> <li>Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred</li> <li>Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred</li> <li>Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment</li> <li>Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions</li> <li>Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL, and pipeline optimization, or reinforcement learning algorithms</li> <li>Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value</li> <li>Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions</li> <li>Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow</li> <li>Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences</li> </ul> <p><span data-sheets-root="1">For candidates based in Ontario, the pay range at the start of employment for this position is expected to be between CA$112,000 - CA$168,000/year, with an expected On Target Earnings (OTE) between CA$125,000 - CA$188,000/year (including performance-based or variable compensation (bonus or commission). Your particular offer may vary depending on multiple individual factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.</span></p> <p>#LI-Hybrid</p><div class="content-conclusion"><div class="p-rich_text_section"> <p><strong>WHAT WE OFFER<br></strong></p> <p><em>Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country </em><a href="https://www.braze.com/company/careers/how-we-hire#benefit-section"><em>here</em></a><em>. More details on benefits plans will be provided if you receive an offer of…