Related skills
sql python pandas tensorflow keras📋 Description
- Collaborate with customer Analytics/BI on use cases, data integration, and pipelines
- Improve architecture; build reusable data pipelines, APIs, and components
- Work with RL pipeline team to refine reinforcement learning algorithms
- Contribute to BrazeAI strategy and roadmap with customer insights
- Provide ongoing technical expertise for adoption and customer success
🎯 Requirements
- Bachelor’s degree in CS/DS/Math/Engineering (Master/PhD preferred)
- 3–5+ years as Data Scientist or ML Engineer
- Python (Pandas) and ML libs: TensorFlow, scikit-learn, CatBoost, XGBoost
- SQL for data querying; ML pipelines and model deployment
- Git, CI/CD, testing, and code reviews
- Nice-to-have: Airflow, Kubernetes, Terraform, GCP
🎁 Benefits
- Competitive compensation may include equity
- Retirement and Employee Stock Purchase Plans
- Flexible paid time off
- Comprehensive medical, dental, vision, life, and disability coverage
- Family benefits including fertility benefits and equal paid parental leave
- Professional development with yearly learning stipend
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