Data Scientist, AI Ongoing Delivery

Overview

As a Forward-Deployed Data Scientist at Braze, you design and implement end-to-end ML solutions for 1-to-1 personalization on major brands. You own the data-to-model-to-activation pipeline and guide clients to measurable outcomes. You collaborate with product and customers to extend capabilities and advance AI features, shaping BrazeAI and our platform’s self-learning potential. You work in a fast-growing, collaborative environment that values autonomy and learning.

Pay / Benefits

• Competitive compensation
• Equity plan / ESPP
• Flexible paid time off
• Comprehensive health plans (medical, dental, vision)
• Family benefits including fertility support and parental leave
• Professional development stipend

Responsibilities

• Design ML use cases from the ground up, aligning scope with business value and marketing journey complexity
• Build and own the full ML pipeline from raw data to activation for large-scale personalization
• Provide ongoing technical guidance to ensure data science performance and adoption
• Develop features and tools to extend the AI deployment capabilities and scale engagements
• Partner with Product to advance reinforcement learning algorithms and self-learning capabilities
• Contribute to BrazeAI product strategy and roadmap with customer-facing insights and technical expertise

Key requirements

• Bachelor in Computer Science, Data Science, Mathematics, Engineering, or related field; Master’s or PhD preferred
• 3–5+ years of hands-on Data Scientist or ML Engineer experience in large-scale data and production environments
• Proficiency in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost)
• Strong SQL skills and experience with ML pipelines and model deployment
• Solid software engineering practices (Git, CI/CD, testing, type hints, code reviews) and ability to build scalable, maintainable solutions
• Customer-facing or consulting experience is strongly preferred

• Customer collaborator
• Entrepreneurial problem-solver
• Continuous learner
• Python (Pandas)
• TensorFlow, Keras, scikit-learn, CatBoost, XGBoost
• SQL

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