Data Scientist, AI Deployment

Responsibilities

• Design end-to-end ML use cases from the ground up, scoping solutions that optimize for business value and modern marketing journeys.
• Build and own full ML pipelines, managing data transformation, model training, and activation to power 1-to-1 personalization.
• Drive customer success by providing technical guidance to ensure model performance and successful adoption.
• Extend product capabilities by developing features and tools that scale AI deployment across engagements.
• Partner with the Product team to refine reinforcement learning algorithms and advance platform self-learning capabilities.
• Shape the BrazeAI product strategy and roadmap using customer-facing insights and technical expertise.

Requirements

• Bachelor's degree in Computer Science, Data Science, Mathematics, Engineering, or a related field.
• 3–5+ years of hands-on experience as a Data Scientist or ML Engineer working with large-scale data and production environments.
• Proficiency in Python (Pandas) and core ML libraries such as TensorFlow, Keras, scikit-learn, CatBoost, or XGBoost.
• Strong SQL skills for querying and manipulating complex datasets.
• Proven experience with machine learning pipelines and model deployment.
• Solid software engineering practices, including Git, CI/CD, testing frameworks, and writing modular, documented code.
• Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders.

Preferred Qualifications

• Master's or PhD in a relevant technical discipline.
• Experience in customer-facing or consulting roles.
• Familiarity with DevOps tools such as Airflow, Kubernetes, Terraform, or GCP.
• Experience with data integration, ETL, pipeline optimization, or reinforcement learning algorithms.

Benefits

• Competitive compensation including equity (RSUs).
• Flexible paid time off and comprehensive medical, dental, and vision plans.
• Retirement and Employee Stock Purchase Plans.
• Family services including fertility benefits and equal paid parental leave.
• Professional development via learning platforms and a yearly learning stipend.
• A collaborative, hybrid work environment with a curated in-office experience.

About the Company

Braze is the leading customer engagement platform that empowers brands to deliver personalized, meaningful experiences. Through BrazeAI, we enable companies to combine and activate AI agents and models at every touchpoint, turning action into interaction through autonomous, 1:1 personalized experiences.