We are looking for a Data Scientist with solid experience in analytics and machine learning, particularly within AWS and Amazon SageMaker. The role involves working on end-to-end ML projects, developing scalable models and actionable insights for business stakeholders.
Requirements
- Perform advanced EDA, correlation analysis, and feature engineering on structured and text data
- Develop churn prediction models using classification and/or survival analysis techniques
- Handle class imbalance, calibrate decision thresholds, and design champion/challenger model frameworks
- Apply interpretability techniques (SHAP, feature importance, PDPs) to identify key drivers and support business recommendations
- Train, tune, and evaluate models using Amazon SageMaker (built-in algorithms or custom frameworks)
- Design decision-ready dashboards for business stakeholders
- Define and track relevant KPIs
- Deliver data-driven storytelling tailored to non-technical audiences
- Ensure data and model versioning, testing, and reproducibility
- Implement data quality checks and validation logic
- Support lightweight deployment and monitoring of ML models (batch or near real-time)
- Work with AWS services such as S3, Glue, Lambda, and SageMaker Pipelines
Benefits
- Competitive salary
- Performance-based bonuses
- Health insurance
- Retirement plan
- Paid time off
- Flexible work arrangements
- Professional development opportunities