Forward-Deployed Data Scientist II at Braze, Inc. (New York, NY) Duties: Design, implement, and maintain machine learningdriven use cases in production environments; Analyze large, complex datasets to evaluate model performance, experimental results, and business impact; Design and interpret controlled experiments (e.g., champion/challenger tests) to measure incremental performance; Monitor end-to-end ML pipeline, identifying and resolving performance degradation, data quality issues, and system failures through root cause analysis; Investigate anomalies in model outputs, data pipelines, or downstream metrics and proposing and implementing corrective actions; Translate business requirements into quantitative frameworks and scalable analytical approaches; Collaborate cross-functionally with Product, Engineering and customer-facing teams to refine models, data inputs, and system configurations, and data inputs; Communicate analytical insights and technical concepts effectively to both technical and non-technical stakeholders. Work with engineering team to refine and advance reinforcement learning and contextual multi-armed bandit models. Requirements: Masters degree in Data Science, Computer Science, Statistics, Applied Mathematics, Machine Learning, Operations Research, Engineering or related field, plus two (2) years of progressively responsible experience in any role/position/occupation in data science and machine learning techniques in real-world and/or production contexts. Experience must include: Analyzing complex data, interpreting experimental results, diagnosing performance issues, and executing analytical recommendations with minimal supervision; Demonstrating statistical analysis and experimental design skills; Analyzing large data sets using quantitative methods; Querying and manipulating datasets on modern cloud platform; Facilitating machine learning pipelines, outputs, performance metrics, and model deployment on Databricks or similar platforms; Writing well-structured, modular, documented code; Applying strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews) to build scalable, maintainable solutions; Utilizing the following tools: Python, Databricks, SQL, and core machine learning libraries (TensorFlow, PyTorch, scikit-learn, CatBoost, XGBoost). Telecommutting permitted five (5) days per week within normal commutting distance. Salary range: $114,000 - $212,000 / year Qualified applicants may send resumes to Braze, Inc. via email at mary.segreti@braze.com and at paulo.marangoni@braze.com, and reference Job Code #BFDDS26.