Description: Education and Experience* Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related fields. Required Qualifications* Proficiency in Python (pandas, numpy, scikit-learn, or similar) * Knowledge of statistics and probability * Basic SQL knowledge * Interest in machine learning and data analysis * Familiarity with data visualization tools (Power BI, Looker, Tableau). Preferred Qualifications* Experience with visualization libraries (matplotlib, seaborn, etc.) * Understanding of code versioning (Git) and data versioning (Delta or Iceberg) * Familiarity with notebooks (Jupyter, Colab) * Basic knowledge of cloud or big data technologies * Participation in data competitions, courses, or bootcamps * Familiarity with healthcare data standards (openEHR, HL7, FHIR). * Support exploratory data analysis (EDA) and analytical modeling across data lake layers using tools such as DBT and Airflow. * Perform data cleaning, transformation, and preparation * Assist in developing and evaluating statistical and machine learning models * Write SQL queries for data extraction and analysis * Support definition and monitoring of metrics * Develop analyses and reports under team supervision * Document analyses, code, and learnings * Collaborate with data scientists, data engineers, and business teams 2512170202551922045