Related skills
sql python pandas tensorflow scikit-learn📋 Description
- Collaborate on use-case definition, data integration, pipelines, and ML config
- Extend product by building reusable data pipelines, APIs, components
- Work with RL pipeline team to refine reinforcement learning algorithms
- Contribute to BrazeAI product strategy with customer insights
- Provide ongoing technical expertise for adoption and outcomes
🎯 Requirements
- Education: Bachelor's in CS/DS/Math/Engineering; Master's/PhD preferred
- Experience: 3–5+ years as Data Scientist/ML Engineer; client-facing preferred
- Strong tech: Python (Pandas), TensorFlow, scikit-learn; SQL
- Engineering practices: modular code, Git, CI/CD, testing
- Nice-to-have: Airflow, Kubernetes, Terraform, GCP
- Customer collaborator: translate technical concepts to business value
🎁 Benefits
- Competitive compensation that may include equity
- Retirement and Employee Stock Purchase Plans
- Flexible paid time off
- Comprehensive medical, dental, vision, life, and disability
- Professional development with yearly learning stipend
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