Are you interested in applying your top-level analytics skills to help thousands of kids to excel in their educational career? Do you want to push the boundaries of EdTech? Become part of the data science team at Squla!
You will use your knowledge of and experience in machine learning and predictive analytics to help the organization apply useful interventions in order to stimulate engagement, learning and user retention. Cooperating closely with the development and product teams, you will build scalable machine learning pipelines, that can be deployed offline as well as online. You will be responsible for the project from start to finish, i.e. from ideation, data collection and feature engineering to deployment, monitoring and iteration.
You will work with data of hundreds of thousands of users, who together answer approximately 1.7 million questions per day on our platform. Specific projects that you will work on include predicting quiz interruption, customer churn, and product feature adoption. In the future, you might also work on recommender systems, contextual bandits, and automatic content generation.
You have a pragmatic way of working, striking the right balance between model simplicity, explainability, and performance. You also understand the value of feature construction and engineering, and you possess the proper data wrangling skills to do so in large datasets. Further, you are able to clearly explain your modeling strategy, choices, and outcomes to both a technical and non-technical audience. Finally, you are also able and willing to occasionally help out with ad-hoc data analysis and reporting.
You will execute these tasks as part of our Amsterdam based data science team, reporting to the head of data science.
Who are we looking for?
We are looking for an experienced and pragmatic data scientist with a passion for education and learning. Furthermore, you have:
Apart from that, it would be nice if you have: