Position Details
About this role
Data Scientist II in Braze's AI Deployment team developing end-to-end ML solutions for 1-to-1 personalization, from data transformation to model activation and deployment, with client-facing responsibilities.
Key Responsibilities
- Design RL use cases
- Build ML pipelines
- Drive customer success with technical guidance
- Extend product capabilities
- Collaborate with product and AI teams
Technical Overview
Stack includes Python data science stack, ML frameworks, reinforcement learning, and production ML pipelines; experience with DevOps tools and cloud platforms is a plus.
Ideal Candidate
A mid-level data scientist with 3-5+ years of hands-on ML experience, strong Python and SQL skills, and production ML deployment experience; comfortable working with large-scale data and client-facing engagements.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 3 years of hands-on ML experience, Lack of production ML deployment experience, Inability to work onsite in Sydney
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