Braze is seeking a Field Data Scientist to expand their team and partner with customers to ensure their success. The role involves developing and refining reinforcement learning algorithms, providing technical expertise, and contributing to product strategy. This is a key role in shaping the future of BrazeAI and empowering brands to create engaging customer experiences.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field
- 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role
- Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost)
- Skilled in SQL and experience with ML pipelines and model deployment
- Experience with DevOps tools and data integration (Airflow, Kubernetes, Terraform)
- Strong engineering and technical skills in model implementation, code documentation, and CI/CD
- Experience collaborating with clients and cross-functional teams
- Entrepreneurial problem-solving skills and continuous learning
Benefits
- Competitive compensation
- Retirement and Employee Stock Purchase Plans
- Flexible paid time off
- Comprehensive benefit plans covering medical, dental, vision, life, and disability
- Family services
- Professional development
- Employee Resource Groups
- Community values
