Position Details
About this role
Join Braze in Paris as a Field Deployed Data Scientist to collaborate on AI deployment, focusing on reinforcement learning and scalable data pipelines within a SaaS platform.
Key Responsibilities
- Partner with customer teams on AI deployments
- Enhance architecture with reusable data pipelines and APIs
- Advance reinforcement learning algorithms
- Contribute to product strategy with insights
- Support successful adoption and measurable outcomes
Technical Overview
Utilize Python, ML frameworks (TensorFlow, Keras, scikit-learn), SQL, data pipelines, APIs, and cloud tools (GCP). Develop, refine, and deploy machine learning models for customer solutions.
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 in Paris.
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
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile