Junior Data Scientist

Group Company: Maxicare Healthcare Corporation Designation: Junior Data Scientist - Utilization Management Office Location: Maxicare Tower (Makati City, Metro Manila) Position description: The Junior Data Scientist is responsible for performing machine learning tasks and creating data analytics reports relevant to managing medical utilization. Primary Responsibilities: * Perform defined machine learning tasks, ranging from data preprocessing to modeling and evaluation, to solve predictive and prescriptive business problems surrounding medical utilization. Conduct exploratory data analysis (EDA) and translate findings to actionable insights to support various stakeholders (especially within Health Network Management and Maxicare Health Services Inc.). Additional Responsibilities: * Identify opportunities for analytics processes automation and execute accordingly. Reporting Team Reporting Designation: Not specified Reporting Department: Utilization Management Department / Health Network Management Division Educational Qualifications Preferred Category: Quantitative field Field specialization: Computer Science, Statistics, Mathematics, Physics, Economics, or Engineering Degree: Bachelor’s or Master’s degree Academic score: Not specified Institution tier: Not specified Required Certification/s: Not specified Required Training/s: Not specified Required Work Experience Industry: Healthcare / Health Maintenance Organization (HMO) - Inferred Role: Data Science (Data Analyst, Business Analyst, or Software Engineer roles are highly desirable) Years of experience: 0-1 years Key Performance Indicators: Deploy 2-4 ML models in a year with high utilization impact helping Projects team for proactive initiatives Required Competencies: * Data Storytelling: Can explain technical findings to non-technical stakeholders (e.g., Marketing or Product managers). Problem-Solving: Possesses a "curiosity-first" mindset—the ability to take an ambiguous business question and turn it into a data project. Portfolio: Must demonstrate 1-2 end-to-end projects covering EDA, predictive/prescriptive modeling, and tangible business impact. Required Knowledge: * Statistics: Understanding of probability distributions, hypothesis testing (p-values, t-tests), and descriptive statistics (mean, variance, correlation). Linear Algebra & Calculus: Understanding the "why" behind algorithms, specifically matrix multiplication and gradient descent. Machine Learning Fundamentals: Supervised Learning (Linear/Logistic Regression, Decision Trees, Random Forests) and Unsupervised Learning (K-Means Clustering, PCA). Required Skills: * Programming: Python (Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib) and SQL (JOINs, subqueries, window functions). Data Wrangling: Proficiency in handling missing values, outliers, and inconsistent data formats (JSON, CSV, SQL exports). Data Visualization: Proficiency in Tableau or Power BI is a plus. Required Abilities Physical: Not specified Other: Not specified Work Environment Details: Not specified Specific Requirements Travel: Not specified Vehicle: Not specified Work Permit: Not specified Other Details Pay Rate: Not specified Contract Types: Not specified Time Constraints: Not specified Compliance Related: Not specified Union Affiliation: Not specified