Data Scientist

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