Forward-Deployed Data Scientist II

📋 Description

• Design RL use cases from the ground up to deliver business value.
• Build and own the end-to-end ML pipeline from raw data to activation.
• Provide ongoing technical guidance to ensure data science performance and outcomes.
• Extend product capabilities by developing AI deployment features for scale.
• Partner with Product to refine BrazeAI RL algorithms and push self-learning.
• Shape BrazeAI strategy and roadmap with customer insights and expertise.

🎯 Requirements

• Education: Bachelor's degree required; Master’s/PhD preferred.
• Experience: 3–5+ years in data science/ML roles; customer-facing preferred.
• Tech: Python (Pandas) and ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost); SQL.
• ML pipelines and deployment in production environments.
• Engineering practices: modular, well-documented code; Git, CI/CD, testing.
• Nice-to-have: DevOps tools (Airflow, Kubernetes, Terraform, GCP) and data integration.

🎁 Benefits

• Competitive compensation, may include equity.
• Retirement and Employee Stock Purchase Plans.
• Flexible paid time off.
• Medical, dental, vision, life, and disability coverage.
• Fertility benefits and equal paid parental leave.
• Career development with learning stipend.