Related skills
sql python pandas tensorflow scikit-learn📋 Description
- Collaborate with Analytics/BI teams on use case definition
- Data integration, pipeline setup, and ML model configuration
- Extend product with reusable data pipelines and APIs
- Refine reinforcement learning algorithms with RL team
- Shape BrazeAI strategy with customer-facing insights
- Provide ongoing technical expertise for adoption and outcomes
🎯 Requirements
- Bachelor's in CS/DS/Math/Engineering; Master's/PhD preferred
- 3-5+ years in Data Science/ML in large-scale production
- Python (Pandas) and core ML libs: TensorFlow, Keras, scikit-learn
- SQL for data querying and pipelines; ML deployment experience
- Git, CI/CD, testing; modular, well-documented code
- Nice-to-have: Airflow, Kubernetes, Terraform, GCP; client-facing
🎁 Benefits
- Competitive compensation that may include equity
- Retirement and Employee Stock Purchase Plans
- Flexible paid time off
- Medical, dental, vision, life, disability coverage
- Fertility benefits and equal paid parental leave
- Professional development with yearly learning stipend
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