Junior Data scientist

Snappet welcomes applications for (Junior) Data Scientists and Machine Learning Researchers. Relevant backgrounds include master’s programs in the Machine Learning space, software development experience, and/or affinity with education.

Snappet’s mission

Improve the learning results of children: that’s what we do at Snappet. Our algorithms are used in more than 3000 schools across Europe and the USA by more than 300.000 pupils. Teachers teach our lessons and pupils answer our exercises daily inside the classroom in primary education. Our content exists for many subjects, of which mathematics and spelling are the most used. This includes our data science and machine learning team of 6-7, and dedicated MLOps and data engineering teams with whom we collaborate closely.

In this role, you will work on the core of the Snappet platform - modelling how students learn and using those insights to support day-to-day learning in the classroom.

What you’ll do:

• Develop, improve and evaluate models that estimate student knowledge and learning dynamics
• Work on our adaptive exercise selection and activity suggestion models, which drive the user experience for pupils and teachers
• Collaborate closely with engineers to bring models into production and ensure they are robust, scalable and interpretable
• Translate educational and product questions into solutions together with product and education experts

As a junior, you will be guided by experienced data scientists and engineers, while quickly taking ownership of meaningful parts of the system. You will learn how to take models from research and prototyping all the way to production, and how to reason about their impact in a real-world educational setting.

What we offer

• A mission of improving learning results for children. This is intrinsic to our culture, and it attracts colleagues that actively choose to put their skills towards improving education
• Personal training budget of 1500 euros per year
• A transparent approach to career growth within the company
• Agile mindset with best practices in place
• Flexible working hours and a hybrid workplace. Most team members come into the office 1-3 days a week, but nothing is set in stone. Fully remote is not possible.
• Foosball table, Nintendo switch, or the odd bouldering session or chess tournament. We have regular knowledge sharing sessions together within our data community and once in a while we go for a drink and a board game after work

About you

• Background in Data Science or Machine Learning
• Strong Python skills
• Team player with collaborative, proactive and positive attitude
• You live in the Netherlands
• Great communication skills for collaboration with the team, educational and business stakeholders and engineering
• You want to learn and grow to use ML for societal impact
• An intrinsic motivation to contribute to education together with the team

A plus if you also have

• 1-3 years of experience working in data science and machine learning
• Affinity with education or educational technology
• Experience with SQL
• Experience with Cloud Compution such as AWS (or Azure, Google Cloud Platform)
• Experience with pytorch
• Experience with training reinforcement models or transformer models