Forward-Deployed Data Scientist II
Core
Design and build end-to-end machine learning solutions for 1-to-1 personalization powering leading brands' marketing journeys.
Role type
Senior IC machine learning engineer (customer engagement/personalization)
Builds
Production ML pipelines, reinforcement learning algorithms, and AI agents for customer engagement platforms
Domain
Marketing technology / Customer engagement / AI
Deliverable
production ML models | product features
Required skills
Python (Pandas), TensorFlow, Keras, scikit-learn, CatBoost, XGBoost, SQL, machine learning pipelines, model deployment, Git, CI/CD, testing frameworks, type-hinting
Preferred skills
DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL, reinforcement learning algorithms, customer-facing consulting experience
Technologies
TensorFlow, Keras, scikit-learn, CatBoost, XGBoost, Pandas, SQL, Airflow, Kubernetes, Terraform, GCP
Responsibilities
Design ML use cases from the ground up optimizing for business value; Build and own the full ML pipeline from data transformation to activation; Drive customer success by providing ongoing technical guidance; Extend product capabilities by developing features for the AI deployment team; Partner with the Product team to refine reinforcement learning algorithms; Shape BrazeAI product strategy and roadmap
Seniority
Mid-Senior, hands-on IC