Senior Applied Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Applied Data Scientist (AI): Developing and validating knowledge tracing and longitudinal learner models with an accent on operationalizing mastery metrics and ensuring trustworthiness. Focus on productionizing training and scoring pipelines while collaborating with cross-functional teams to deliver scalable, AI-native product capabilities.
Location: Budapest, Hungary (Hybrid)
Company
A global education technology company dedicated to simplifying learning and personal development through intuitive, AI-powered product platforms.
What you will do
- Define and validate complex learner progression and mastery models.
- Collaborate with AI platform engineers to build and maintain production training/scoring pipelines.
- Monitor and evaluate model quality and reliability in live environments.
- Partner with product and research teams to integrate advanced AI into core platform features.
- Ensure model outputs are interpretable, calibrated, and ready for educator and learner interfaces.
Requirements
- Proven experience in applied data science and predictive modeling.
- Expertise in knowledge tracing or longitudinal modeling techniques.
- Strong proficiency in building production-ready machine learning pipelines.
- Must be based in Budapest, Hungary, for hybrid work arrangements.
- Ability to partner effectively with engineering and product stakeholders.
Culture & Benefits
- Collaborative environment valuing diversity, creativity, and innovation.
- Support for professional growth through mentorship, hack weeks, and internal conferences.
- Research-driven atmosphere focusing on meaningful educational challenges.
- Competitive benefits package aligned with local standards.
- Commitment to equitable and inclusive hiring practices.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →