HelioCampus

Data Scientist

• Communicate with stakeholders to determine institutional goals, and design analyses and data visualizations to provide insight to complex business problems.
• Conduct exploratory data analysis in collaboration with subject matter experts to build and validate analytical datasets.
• Develop statistical and machine learning models (classification, time series, etc.) using a custom python framework to generate scores and forecasts.
• Present predictive modeling results and operational dashboards to end-users at colleges and universities to help them understand and make use of the findings and scores.
• Work with data science and data engineering teams to build data pipelines, improve internal systems, and deploy and maintain models in a production environment.
• Collaborate with other data scientists to share knowledge, develop best practices, and contribute to documentation, process standardization, and product development.
• Occasionally travel (typically 1-3 days at a time, ~3 times per year) to HelioCampus offices and client sites for meetings and presentations.

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