Requirements:

• 2-3 years of relevant data science, analytics or machine learning experience
• Solid understanding of data analysis techniques, statistical concepts, and machine learning algorithms
• Proficiency in Python and SQL
• Experience with common data science libraries and frameworks (e.g. pandas, NumPy, scikit-learn)
• Familiarity with working in a cloud environment (e.g. Google Cloud Platform), Git, and data visualization frameworks (e.g. Plotly Dash) are a plus
• Highly motivated and eager to learn and grow in a fast paced environment
• Passionate about improving healthcare

Tools we use:

• Python, including common ML packages like NumPy, Scikit-Learn, Pandas, Tensorflow, etc.
• AWS and GoogleCloud environments
• SQL
• GitHub