Braze

The Forward-Deployed Data Scientist II at Braze partners with customers to ensure their success with BrazeAI. This role involves collaborating on implementations, improving architecture, developing data pipelines and components, refining reinforcement learning algorithms, and contributing to product strategy. The position requires strong Python and ML library proficiency, SQL skills, and experience with ML pipelines and model deployment, along with engineering best practices.

The Forward-Deployed Data Scientist II at Braze partners with customers to ensure their success with BrazeAI. This role involves collaborating on implementations, improving architecture, developing data pipelines and components, refining reinforcement learning algorithms, and contributing to product strategy. The position requires strong Python and ML library proficiency, SQL skills, and experience with ML pipelines and model deployment, along with engineering best practices.

Data Scientist, AI Deployment at Braze, responsible for designing and building end-to-end ML solutions for customer personalization. This role involves owning the full ML pipeline from data transformation and model training to activation, and extending product capabilities. They will also partner with the Product team to advance reinforcement learning algorithms and shape AI product strategy.

The Forward-Deployed Data Scientist II at Braze partners with customers to ensure their success with BrazeAI. This role involves collaborating on implementations, extending product capabilities by improving architecture and developing data pipelines, refining reinforcement learning algorithms, contributing to product strategy, and providing technical expertise for customer adoption and success. The role requires strong Python, ML libraries, SQL, and ML pipeline/deployment experience, with a preference for customer-facing roles and experience with RL algorithms.

The Data Scientist, AI Deployment role at Braze focuses on designing and building end-to-end machine learning solutions for customer personalization. This involves managing the full ML pipeline from data transformation and model training to activation, with a strong emphasis on customer success and extending product capabilities. The role also involves shaping the AI product strategy and roadmap, particularly concerning reinforcement learning algorithms.

The Forward-Deployed Data Scientist at Braze partners with customers to implement BrazeAI solutions, focusing on ML model configuration, data integration, and refining reinforcement learning algorithms. This role extends product capabilities by developing reusable data pipelines and components, and contributes to product strategy through customer insights.

Senior Data Scientist role focused on deploying and refining AI models, particularly reinforcement learning algorithms, for customer engagement within the Braze platform. This involves collaborating with customers and internal teams on implementation, pipeline setup, and contributing to product strategy.

Senior Data Scientist role focused on deploying and refining AI models, particularly reinforcement learning algorithms, for customer engagement within the Braze platform. This involves collaborating with customers and internal teams on implementation, pipeline setup, and contributing to product strategy.

The Forward-Deployed Data Scientist at Braze partners with customers to ensure their success with BrazeAI. This role involves collaborating on implementations, ML model configuration, data integration, pipeline setup, and extending product capabilities. A key responsibility is working with the RL pipeline development team to refine reinforcement learning algorithms and contributing to BrazeAI product strategy through customer insights. The role requires strong Python, ML libraries, SQL, and production ML experience, with a focus on customer collaboration and driving solutions.

Braze is seeking a Forward-Deployed Data Scientist to partner with customers on AI implementations, including ML model configuration and data integration. The role involves extending product capabilities by developing data pipelines and APIs, and working with the RL pipeline development team to refine reinforcement learning algorithms. The position also contributes to BrazeAI product strategy and roadmap through customer insights.

The Forward-Deployed Data Scientist at Braze partners with customers to ensure their success with BrazeAI. This role involves collaborating on implementations, ML model configuration, data integration, pipeline setup, and extending product capabilities. A key responsibility is working with the RL pipeline development team to refine reinforcement learning algorithms and contributing to BrazeAI product strategy through customer insights. The role requires strong Python, ML libraries, SQL, and production ML experience, with a focus on customer collaboration and driving solutions.

The Forward-Deployed Data Scientist at Braze partners with customers to ensure success with BrazeAI. This role involves collaborating on implementations, ML model configuration, data integration, pipeline setup, and extending product capabilities. A key responsibility is working with the RL pipeline development team to refine reinforcement learning algorithms. The role also contributes to BrazeAI product strategy and roadmap through customer insights.