Junior Data Scientist

The Junior Data Scientist is responsible for supporting data-driven decision-making by performing machine learning tasks and generating analytics reports related to medical utilization. The role involves transforming data into actionable insights to improve operational efficiency and healthcare outcomes.

Key Responsibilities:

• Perform machine learning tasks, including data preprocessing, model development, validation, and evaluation, to address predictive and prescriptive business problems related to medical utilization
• Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies, and translate findings into actionable insights for stakeholders, particularly within Health Network Management and Maxicare Health Services Inc.
• Develop and maintain data analytics reports and dashboards to support business and clinical decision-making
• Identify opportunities to automate data analytics processes and implement solutions to improve efficiency and accuracy
• Collaborate with cross-functional teams (e.g., Sales, Marketing, Operations, and Medical) to understand business needs and deliver data-driven solutions

Technical skills:

1. Programming
2. Python – data-centric libraries such as Pandas, NumPy, Scikit-learn, Seaborn, and Matplotlib
3. SQL – JOINs, subqueries, and window functions
4. Data Wrangling & Visualization
5. Proficiency in handling missing values, outliers, and inconsistent data formats (JSON, CSV, SQL exports)
6. Proficiency in Tableau or Power BI is a plus
7. Mathematics
8. Statistics – understanding of probability distributions, hypothesis testing (p-values, t-tests), and descriptive statistics (mean, variance, correlation).
9. Linear Algebra & Calculus – understanding the "why" behind algorithms, specifically matrix multiplication and gradient descent
10. Machine Learning Fundamentals
11. Supervised Learning: Linear/Logistic Regression, Decision Trees, Random Forests.
12. Unsupervised Learning: K-Means Clustering, PCA
13. Evaluation Metrics: Precision, Recall, F1-Score, RMSE, and ROC-AUC