Data Scientist II
Core
Design, build, and deploy machine learning models and AI-driven solutions to address business problems and enhance client outcomes within a cloud-native ecosystem.
Role type
Mid-level individual contributor data scientist (ML/AI)
Builds
Production ML models, AI decision assistants (Clara), and analytical solutions for internal and client-facing use cases.
Domain
Financial services / Enterprise AI & Machine Learning
Deliverable
production ML models
Required skills
Python, SQL, TensorFlow, PyTorch, scikit-learn, AWS SageMaker, Snowflake, MLflow, Hex, statistical modeling, hypothesis testing, feature engineering, model evaluation, prompt development, context engineering
Preferred skills
Experience with AWS Bedrock, MLOps practices, responsible AI principles (bias detection, explainability), knowledge of medallion architecture
Technologies
Hex, Omni, SWBC Intelligence, AWS Bedrock, AWS SageMaker, Snowflake, MLflow, TensorFlow, PyTorch, scikit-learn
Responsibilities
Design and deploy ML models for forecasting, segmentation, classification, and anomaly detection; Develop and enhance the Clara AI decision assistant; Build and maintain ML experiment workflows; Conduct exploratory data analysis and feature engineering; Participate in model benchmarking and evaluation harness processes; Apply Responsible AI principles; Collaborate with cross-functional teams to translate business problems into solutions.
Seniority
Mid-level, independent execution with minimal guidance
