REQUIREMENTS

• 1 - 2 years of relevant work experience
• Background as an engineer or data scientist. Healthcare experience is advantageous.
• Python skills for data analysis and building dashboards with libraries like Dash, Streamlit, Panel, Bokeh
• Experience building machine learning, with proven strong results.
• Random Forest, Gradient Boosting, AutoML
• Performing well on Kaggle machine learning competitions (advantageous)
• Able to discuss specific models built, methodologies used, and feature engineering approaches
• Able to work from home – anywhere in the Philippines
• Schedule of work: can be discussed with hiring manager

• Develop and implement machine learning models to solve complex business problems from the ground up.
• Use algorithms such as Random Forest, Gradient Boosting, and AutoML to enhance model performance.
• Ensure models are scalable and maintainable.
• Perform detailed data analysis to extract meaningful insights.
• Conduct feature engineering to improve model accuracy.
• Validate and clean data to ensure high-quality datasets for model training.
• Communicate findings and recommendations to stakeholders in a clear and concise manner.
• Collaborate with team members to integrate models into existing systems and workflows.
• Create dashboards and visualizations using Python libraries such as Dash, Streamlit, Panel, and Bokeh.
• Present data-driven insights through interactive and user-friendly dashboards.
• Provide regular reports on model performance and business impact.
• Apply machine learning techniques to healthcare-specific problems.