Forward-Deployed Data Scientist II

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

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

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

Nice-to-have skills: experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL, and pipeline optimization, or reinforcement learning algorithms

As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team!

Join our Forward-Deployed Data Scientist group of creative technical experts who partner with customers to ensure their success.

Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration

Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components

Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms

Contribute to shaping BrazeAI product strategy and roadmap through customer-facing insights and technical expertise