Related skills
sql python pandas tensorflow scikit-learn📋 Description
- Collaborate on use case definition, data integration, pipeline setup, and ML model config
- Improve architecture; build reusable data pipelines, APIs, and components
- Refine reinforcement learning (self-learning) algorithms with the RL team
- Contribute to BrazeAI strategy and roadmap with customer insights and technical expertise
- Provide technical guidance to ensure adoption and long-term customer success
🎯 Requirements
- Education: Bachelor's in CS/Data Science/Engineering; Master's/PhD preferred
- 3–5+ years as Data Scientist/ML Engineer; customer-facing experience preferred
- Python (Pandas), TF/Keras/scikit-learn/CatBoost/XGBoost; SQL
- Modular, well-documented code; Git, CI/CD; scalable solutions
- DevOps tools (Airflow, Kubernetes, Terraform, GCP); data ETL
- Customer collaborator: work with clients and cross-functional teams
🎁 Benefits
- Retirement plans and employee stock purchase options
- Flexible paid time off
- Comprehensive medical, dental, vision, life, and disability coverage
- Family services including fertility benefits and paid parental leave
- Professional development with yearly learning stipend
- In-office community and team-building experiences
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