Braze is expanding its Field Data Scientist team to support its growing customer base and the excitement around BrazeAI. The role aims to partner with customers to ensure their success by providing technical expertise and driving adoption of Braze's platform.
Requirements
- 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.
- 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.
- Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, or reinforcement learning algorithms.
- 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.
Responsibilities
- 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 OfferFit’s product strategy and roadmap through customer-facing insights and technical expertise.
- Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success.
Other
- 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.
- Experience in customer-facing or consulting roles is strongly preferred.
- Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value.
- Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions.
- Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow.
- Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences.
