Related skills
sql python pandas kubernetes tensorflow📋 Description
- Collaborate with customer Analytics/BI on data integration, pipelines, and ML models
- Improve architecture and build reusable data pipelines, APIs, and components
- Refine reinforcement learning (RL) algorithms with the RL pipeline team
- Contribute to BrazeAI strategy and roadmap with customer insights and tech expertise
- Provide ongoing technical guidance to ensure adoption and success
🎯 Requirements
- Education: Bachelor's in CS/Data Science/Math/Engineering; Master's/PhD preferred
- Experience: 3–5+ years as Data Scientist or ML Engineer; customer-facing/consulting preferred
- Strong tech: Python (Pandas), TF/Keras/scikit-learn/CatBoost/XGBoost; SQL
- Engineering practices: modular, documented code; Git, CI/CD, testing; scalable solutions
- Nice-to-have: DevOps tools (Airflow, Kubernetes, Terraform, GCP); ETL; RL
- Customer collaborator: comfortable with clients and cross-functional teams; translate to business value
- Entrepreneurial problem-solver: identify opportunities/risks; drive creative solutions
- Continuous learner: stay current, explore new tools/tech, grow
- Clear communicator: explain complex ideas to technical and non-technical audiences
🎁 Benefits
- Competitive compensation including equity
- Retirement and Employee Stock Purchase Plans
- Flexible paid time off
- Medical, dental, vision, life, and disability coverage
- Family services incl fertility benefits and equal paid parental leave
- Professional development with annual learning stipend
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