Senior Applied Data Scientist, Learner Modeling

Instructure

. Design and build knowledge tracing and longitudinal learner models that support mastery and progression features surfaced to customers .

Posted 3/12/2026full-timeBudapest • 🇭🇺 HungarySenior💰 HUF 1,600,000 - HUF 2,200,000 per monthWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Design and build knowledge tracing and longitudinal learner models that support mastery and progression features surfaced to customers
Define mastery and progression signals, model targets, and evaluation criteria aligned to learning outcomes and product requirements
Build robust training and scoring approaches for noisy, incomplete, and evolving learner interaction data
Lead evaluation for validity, calibration, stability over time, interpretability, and failure modes, not just predictive accuracy
Partner with engineering to productionize learner models into reliable services, including deployment, monitoring, and iteration loops
Collaborate with product and learning partners to translate learning theory into scalable product systems and to communicate model behavior and limitations clearly

Requirements

What you’ll need

6+ years of experience in applied machine learning, data science, or applied research, with ownership of models shipped into real products
Strong depth in at least one of: knowledge tracing, sequence modeling, probabilistic modeling, temporal modeling, or Bayesian approaches
Experience working with longitudinal data and designing models that remain stable, meaningful, and interpretable over time
Strong Python and ML stack skills, with ability to implement and iterate on modeling pipelines
Strong evaluation instincts: calibration, uncertainty, robustness, interpretability, and validation strategy
Ability to communicate modeling choices, limitations, and uncertainty clearly to technical and non-technical stakeholders.

Benefits

Comp & perks

Competitive compensation, plus all full-time employees participate in our ownership program - because everyone should have a stake in our success.
Flexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location.
Generous time off, including local holidays and our annual “Dim the Lights” period in late December, when teams are encouraged to step back and recharge based on departmental needs.
Comprehensive wellness programs and mental health support
Annual learning and development stipends to support your growth
The technology and tools you need to do your best work — typically a Mac, with PC options available in some locations
Motivosity employee recognition program
A culture rooted in inclusivity, support, and meaningful connection

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningdata scienceknowledge tracingsequence modelingprobabilistic modelingtemporal modelingBayesian approachesPythonmodeling pipelinesevaluation strategy

Soft Skills

communicationcollaborationleadershipevaluation instinctsinterpretabilityuncertainty managementrobustnesscalibrationvalidationstakeholder engagement