Related skills
sql python pandas tensorflow scikit-learn📋 Description
- Collaborate with customer Analytics/BI teams on use cases and data integration
- Design data pipelines and APIs; extend product capabilities
- Work with RL pipeline team to advance reinforcement learning algorithms
- Contribute to BrazeAI product strategy with customer insights and technical expertise
- Provide ongoing technical guidance for adoption and customer success
🎯 Requirements
- Bachelor's in CS/Data Science/Math/Engineering; Master/PhD preferred
- 3–5+ years as Data Scientist/ML Engineer; customer-facing preferred
- Proficient in Python (Pandas) and ML libraries (TF, Keras, scikit-learn)
- SQL for data querying and ML pipelines deployment
- Strong engineering practices: Git, CI/CD, testing; modular code
- Nice-to-have: Airflow, Kubernetes, Terraform, GCP
🎁 Benefits
- Competitive compensation with equity
- Retirement and Employee Stock Purchase Plans
- Flexible paid time off
- Medical, dental, vision, life, disability coverage
- Fertility benefits and paid parental leave
- Learning stipend and development programs
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