Forward-Deployed Data Scientist
Braze is seeking a Forward-Deployed Data Scientist to join our expanding team focused on AI deployment and customer success. In this role, you will collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and machine learning model configuration. Additionally, you will extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components.
Key responsibilities include working closely with the reinforcement learning pipeline development team to refine and advance our self-learning algorithms. You will also contribute to shaping BrazeAI's product strategy and roadmap through customer-facing insights and technical expertise. Providing ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success is a critical aspect of this role.
The ideal candidate will have a Bachelor's degree in Computer Science, Data Science, Mathematics, Engineering, or a related field, with a Master's or PhD preferred. A minimum of 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 is required. Proficiency in Python (Pandas) and core machine learning libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost), as well as strong SQL skills for querying and manipulating datasets, are essential. Experience in machine learning pipelines and model deployment, along with well-structured, modular, documented code following strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews), is expected.
Braze offers competitive compensation that may include equity, retirement and employee stock purchase plans, flexible paid time off, and comprehensive benefit plans covering medical, dental, vision, life, and disability. Family services, including fertility benefits and equal paid parental leave, are also provided. Professional development is supported through formal career pathing, learning platforms, and a yearly learning stipend. A curated in-office employee experience is designed to foster community, team connections, and innovation. Opportunities to give back to the community include an annual company-wide Volunteer Week and donation matching. Employee Resource Groups provide supportive communities within Braze, and the company is recognized as a Great Place to Work®.
Braze is the leading customer engagement platform that empowers brands to deliver personalized messaging experiences across multiple channels, including mobile, email, web, and more. Founded in 2011, Braze's mission is to help brands build meaningful relationships with their customers through data-driven, real-time messaging. The company serves a wide range of industries, including retail, media, entertainment, and technology, positioning itself as a leader in the marketing automation and customer engagement space.