This role focuses on utilizing data science and analytics to enhance the student experience within an online education platform. The ideal candidate will possess a strong foundation in data science and analytics, with a passion for applying these skills to boost educational results and engagement.
Key Responsibilities:
- Gather, process, and analyze extensive datasets related to student activities, performance, and engagement on the online learning platform.
- Develop and deploy predictive models and algorithms to uncover trends, patterns, and opportunities to elevate the student experience.
- Design and maintain dashboards and reports to track key performance indicators (KPIs) and support decision-making.
- Apply advanced statistical methods and machine learning techniques to extract insights into student behavior and outcomes.
- Utilize data insights to propose and implement modifications to the online learning platform aimed at improving the student experience.
- Partner with UX designers, instructional designers, and developers to integrate data analytics into platform design and development.
- Conduct A/B tests and other experiments to assess the effects of UX changes on student engagement and success.
- Continuously monitor and analyze user feedback and behavior to refine the user experience.
- Collaborate with various teams, including instructional design, IT, and administration, to align data analytics initiatives with organizational goals.
Qualifications Sought:
- A Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field is required; a Master’s degree is preferred.
- Proficiency in programming languages and data analysis tools, such as Python, R, SQL, and visualization tools like Tableau or Power BI.
- Strong knowledge of statistical analysis, machine learning, and predictive modeling.
- Excellent skills in communication and collaboration.
- Prior experience in the education sector or with educational technology is highly valued.
Key Skills
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- Posted
- Nov 17, 2025
- Type
- Full-time
- Level
- Entry
- Location
- United States
- Company
- Why Hiring
Industries
Categories
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