Data Science Analyst - Remote

Responsibilities

• Data Analysis & Manipulation
• Perform exploratory data analysis to identify patterns and opportunities in healthcare data
• Document methodology, assumptions, and results to ensure analyses are reproducible and defensible
• Design and maintain reporting datasets that support recurring reporting and predictive modeling
• Write clean, well-structured, and documented code in Python, PySpark, and SQL
• Use Git for version control and follow structured development practices
• Visualization & Reporting
• Design and build reports and dashboards using data visualization tools (Power BI preferred)
• Build presentation-ready decks and visuals that frame data as a clear narrative for technical and non-technical audiences
• Use Python to manipulate, clean, and analyze large datasets
• Storytelling & Collaboration
• Partner with stakeholders to scope projects, align on goals, and manage expectations
• Communicate findings and methodologies clearly to technical and non-technical audiences
• Contribute to predictive modeling and machine learning efforts under the guidance of senior team members

Requirements

• Bachelor's or Master's degree in Business Analytics, Data Science, Computer Science, Statistics, or a related field
• 3+ years of experience in a BI or analytics role focused on manipulating data and presenting it to stakeholders
• Strong SQL skills for querying and manipulating large datasets
• Strong data visualization skills, including building dashboards and reports in Power BI
• Experience with Python, SQL, and common ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, Hugging Face, etc.)
• Healthcare data experience preferred
• Understanding of statistical methods, predictive modeling, and AI/ML algorithms
• Strong communication and presentation skills, with the ability to present to and manage stakeholders and clients
• Exposure to agentic AI concepts and frameworks (e.g., LangChain, LangGraph, etc.)
• Familiarity with Python, SQL, and Git (version control)
• Experience with the following is a plus: Cloud Azure Databricks, Version Control: GitLab, IDE: VS Code