Senior Applied Data Scientist (Learner Modeling)

📋 Description

• Design and build knowledge tracing and longitudinal learner models to surface mastery features
• Define operational mastery and progression constructs, targets, and evaluation criteria
• Build robust training and scoring for noisy, incomplete, evolving learner data
• Own model trustworthiness: validity, calibration, fairness, stability, interpretability
• Partner with engineering to productionize learner models into reliable services
• Collaborate with product and learning partners to translate theory into scalable product systems

🎯 Requirements

• 6+ years in applied ML/data science with models shipped to products
• Deep expertise in knowledge tracing, sequence/temporal modeling, Bayesian approaches, or psychometrics
• Working understanding of computational psychometrics and construct measurement
• Ability to evaluate models beyond accuracy: calibration, uncertainty, fairness, robustness, interpretability
• Experience with longitudinal data and models that stay stable and interpretable over time
• Strong Python and ML stack skills; develop and iterate on modeling pipelines; Onsite Tue/Wed collaboration required

🎁 Benefits

• Competitive compensation plus ownership program
• Flexible remote, hybrid, and in-office culture
• Generous time off and the Dim the Lights period
• Wellness programs and mental health support
• Learning and development resources with tuition reimbursement
• The technology and tools you need to do your best work