Data Scientist – Machine Learning
Core
Develop and deploy data-driven solutions for complex business challenges in pricing, warranty cases, and cost analysis using machine learning and optimization.
Role type
Machine Learning Engineer (Data Scientist)
Builds
Production ML models, data pipelines, and containerized solutions for business applications.
Domain
Financial services / Insurance / Pricing & Cost Analysis
Deliverable
production ML models
Required skills
Python, SQL, Machine Learning, Deep Learning, Statistical Analysis, Software Development, Git, Cloud Infrastructure, Containerization, Data Engineering
Preferred skills
PyTorch, TensorFlow, RAG, MCP, AWS Bedrock, Bash, Streamlit, MkDocs
Technologies
Python, SQL, Snowflake, Snowpark, AWS SageMaker, AWS ECS, AWS EC2, Docker, GitLab, CI/CD
Responsibilities
Translate business needs into data science problems, develop and evaluate ML models, build and maintain Python code and training/inference pipelines, deploy containerized solutions on AWS, contribute to CI/CD and technical documentation.
Seniority
Mid-Senior, hands-on IC
