Position Details
About this role
Join Braze as a Forward-Deployed Data Scientist to collaborate with customers on AI and machine learning implementations, focusing on reinforcement learning and scalable data pipelines in a SaaS environment.
Key Responsibilities
- Collaborate with customer teams on ML implementations
- Develop reusable data pipelines and APIs
- Refine reinforcement learning algorithms
- Shape product strategy with insights
- Ensure successful adoption and outcomes
Technical Overview
Work with Python, ML libraries (TensorFlow, Keras, scikit-learn), SQL, data pipelines, APIs, and cloud tools (GCP). Develop and deploy machine learning models, improve architecture, and refine reinforcement learning algorithms.
Ideal Candidate
The ideal candidate is a mid-level data scientist with 3+ years of experience in machine learning, proficient in Python and ML frameworks, with strong data pipeline and deployment skills, eager to work on reinforcement learning projects in a SaaS environment.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with ML pipelines, No proficiency in Python or SQL, No experience with large-scale data, No relevant degree
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