About the Role
This role focuses on building data-driven models that capture how learners engage with digital education platforms, enabling personalized recommendations and actionable insights for educators and students.
Responsibilities
- Design and implement machine learning models to analyze learner behavior patterns
- Collaborate with product and engineering teams to integrate models into production systems
- Translate research findings into scalable features that enhance user experience
- Evaluate model performance using statistical methods and real-world data
- Identify opportunities to improve learning outcomes through data insights
- Work with large-scale educational datasets to uncover trends and anomalies
- Develop frameworks for measuring the impact of interventions on learner success
- Ensure models are interpretable and aligned with pedagogical goals
- Conduct A/B tests to validate hypotheses about user engagement
- Maintain documentation for modeling pipelines and experimental results
- Stay current with advancements in machine learning and educational data mining
- Present technical findings to both technical and non-technical stakeholders
- Use natural language processing techniques to analyze open-ended learner inputs
- Build time-series models to predict student performance over time
- Support data quality initiatives to ensure reliable model inputs
- Contribute to ethical AI practices in educational technology
- Optimize models for low-latency, high-availability environments
- Collaborate on cross-functional projects involving UX, research, and data engineering
- Define key performance indicators for learner success and progression
- Mentor junior team members in data science best practices
- Ensure compliance with data privacy standards in model design
- Develop anomaly detection systems for identifying at-risk learners
- Integrate external data sources to enrich learner profiles
- Create reusable modeling components for team-wide use
- Drive innovation through prototyping and proof-of-concept development
Compensation
Competitive salary based on experience and location
Work Arrangement
Hybrid work model with flexible remote options
Team
Part of a cross-functional data science team focused on learner success
About the Team
This team specializes in turning educational data into insights that improve student outcomes. Members work at the intersection of machine learning, behavioral science, and product development to build intelligent features that support learners and educators.
What We Value
We prioritize ethical use of data, reproducible research, and collaboration across disciplines. The ideal candidate is passionate about education and committed to building systems that are fair, transparent, and effective.
Available for qualified candidates
