Senior Applied Data Scientist (Learner Modeling)

Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
Elvárt technológiák
- AWS PYTHON MACHINE LEARNING
Elvárások
- Angol középfok
- 5-10 év tapasztalat
- Középiskola

Állás elmentve

A hirdetést eltávolítottuk a mentett állásai közül.

Design and build knowledge tracing and longitudinal learner models that support mastery and progression features surfaced to customers
Define what mastery and progression mean operationally including constructs, 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
Own model trustworthiness including evaluation for validity, calibration, fairness, stability over time, interpretability, and failure modes
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 communicate model behavior, assumptions, and limitations clearly

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, Bayesian approaches, or psychometrics / item response theory
Working understanding of computational psychometrics including rigorous measurement of a construct
Demonstrated ability to evaluate a model on calibration, uncertainty, fairness, robustness, and interpretability beyond accuracy
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
Ability to communicate modeling choices, assumptions, and uncertainty clearly to technical and non-technical stakeholders

Deep experience with computational psychometrics, psychometrics, educational measurement, or item response theory with a track record of bringing rigor into machine-learned models
Experience with learning science or adaptive learning systems
Experience building customer-facing learner progress or mastery products
Experience combining structured knowledge representations such as skills, standards, concept graphs with learner models
Experience designing experiments or observational validation strategies for learning impact
Experience partnering with platform teams to run models reliably at scale on AWS

Competitive compensation including participation in ownership program
Flexible work culture with remote, hybrid, and in-office collaboration spaces varying by role, team, and location
Generous time off including local holidays and annual “Dim the Lights” period in late December
Comprehensive wellness programs and mental health support
Learning and development resources including professional development tools and tuition reimbursement
Technology and tools needed to do best work
Motivosity employee recognition program
Culture rooted in inclusivity, support, and meaningful connection