Junior Data scientist

Snappet’s mission

Improve the learning results of children: that’s what we do  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. Snappet was introduced in the market 12 years ago, and since then the company has grown to 100 employees.

This includes our data science and machine learning team of 6-7, and a dedicated mlops team and data engineering team with whom we collaborate closely.

• Work on translating model predictions to meaningful numbers for teachers - based on an understanding of what is important and on solid statistical analysis.

• Work together in our team to define & automatically check what makes a model good enough for our platform; collaborate with engineering to put our models and algorithms into production.

• Join forces with business leads and educational stakeholders to identify and scope opportunities for data science and machine learning solutions.

• 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.

• Competitive salary.

• 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.

• Office right next to Utrecht central station, with travel reimbursement up to 50 km each-way.

• Foosball table, Nintendo switch, chess competitions, regular knowledge sharing sessions together within our data community & once in a while we go for a drink and a board game after work.

• 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 & 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.

• 1-3 years of experience working in data science & machine learning.

• Affinity with education or educational technology.

• Experience with SQL.

• Experience with cloud computation such as AWS (or Azure, Google Cloud Platform).

• Experience with PyTorch.

• Experience with training reinforcement models or transformer models.

We are committed to creating an inclusive, diverse and open culture. We find it important that everyone can be themselves and can contribute to our mission with their skills and perspectives.