Senior Forward Deployed Data Scientist, AI Deployment
Core
Partner with customer Analytics/BI teams to define use cases, integrate data, configure ML models, and ensure successful adoption of BrazeAI features.
Role type
Senior Forward Deployed Data Scientist (Customer-Facing)
Builds
Customer-specific data pipelines, ML model configurations, and reusable components for the Braze Customer Engagement Platform.
Domain
Marketing Technology / Customer Engagement / Reinforcement Learning
Deliverable
production ML models | product features | client delivery
Required skills
Python (Pandas), TensorFlow, Keras, scikit-learn, CatBoost, XGBoost, SQL, machine learning pipelines, model deployment, Git, CI/CD, testing frameworks
Preferred skills
Reinforcement learning algorithms, DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL, customer-facing consulting experience
Technologies
TensorFlow, Keras, scikit-learn, CatBoost, XGBoost, Pandas, SQL, Airflow, Kubernetes, Terraform, GCP
Responsibilities
Collaborate with customer Analytics/BI teams on implementations including use case definition and data integration; Extend product capabilities by developing reusable data pipelines and APIs; Work with RL pipeline teams to refine reinforcement learning algorithms; Provide ongoing technical expertise to ensure customer success and measurable outcomes.
Seniority
Senior, hands-on IC with customer-facing focus