| Job Description: |
The University of Florida Lastinger Center for Learning’s mission is to improve the quality of teaching, learning, and childcare. We research, develop, and scale educational innovations for adults and children that put all learners on trajectories for lifelong success. Specifically, the Center targets kindergarten readiness, 3rd grade reading proficiency, and algebra proficiency as critical milestones in children's educational trajectory that are predictive of success in school and life. The Center works at the nexus of research, practice, and policy to develop sustainable systems that leverage educational technologies and improve the implementation of research-based practices. Housed in one of the nation's elite public research universities, the Center operates as a dynamic, entrepreneurial workplace focused on executing UF's service mission to strengthen the human condition and improve the quality of life. The Lastinger Center is committed to attracting, hiring, and retaining top talent by valuing diversity of thought, skill, and experience. As an equal opportunity employer, we believe in fostering environments where team members feel included, valued for their differences, and empowered to do their best work.
Responsibilities:
Machine Learning & Predictive Modeling
- Develop, test, deploy, and monitor machine learning models aimed at improving learner retention, performance, and predictive analytics.
- Provide expert insights and recommendations on the strategic use of analytics and machine learning technologies within educational contexts.
- Develop early-warning models to flag at-risk learners and recommend interventions.
- Create mastery prediction models to support personalized learning paths.
- Conduct A/B testing and experimentation to validate predictive model effectiveness.
Data Engineering & Pipeline Development
- Manages Tier 1 requests and escalated Tier 2 requests.
- Formulates and implements monitoring systems procedures and work plans.
- Design, implement, and maintain scalable data pipelines to support learning analytics projects.
- Ensure data integrity, reliability, and compliance with privacy standards and educational data regulations.
- Perform basic data maintenance and ensure accurate data flow across systems.
- Collaborate with security and compliance teams to operationalize FERPA aligned data governance practices.
DevOps and System Integration
- Lead DevOps processes for the Learning Analytics environment.
- Ensuring robust model deployment, performance monitoring, and continuous integration and deployment.
Collaboration and Peporting
- Is responsible for the preparation and modification of technical and capacity documentation.
- Is responsible for the tracking of service requests.
- May maintain history reports, ID’s and addresses reoccurring problems and assists in the development and execution of business process best practices across the organization.
- Collaborate closely with stakeholders to gather, interpret, and document business and technical requirements.
- Translate requirements into scalable analytics solutions.
- Regularly communicate complex analytics results to diverse audiences, including non-technical stakeholders.
- Create visualizations and reports that support decision-making and strategic planning.
- Mentor student assistants working on data projects.
Other duties as assigned
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| Preferred: |
• Bachelor’s degree and five years of appropriate experience.
• Extensive experience in machine learning, data engineering, and DevOps practices.
• Strong proficiency in machine learning frameworks and tools such as Azure ML, Snowflake, or PyTorch.
• Expertise in programming languages (Python, SQL) and cloud platforms.
• Demonstrated capability in designing and managing data infrastructure and pipelines.
• Exceptional analytical, collaborative, and problem-solving skills.
• Strong communication skills to effectively translate analytics results into actionable insights.
• Previous experience working in educational technology and learning analytics environments.
• Familiarity with agile methodologies and project management frameworks.
• Proven track record of delivering impactful data-driven solutions in a collaborative environment. |