Do you want to use your statistical and analytic skills and help us optimise our products and markets by increasing performance on analysis and key insights? If the answer is yes; then you should apply for the role as Data Scientist Assistant in the Business Intelligence Team at Better Collective.
Better Collective is an international award-winning company working to give players a better and more secure iGaming experience.
As Data Scientist Assistant in our commercial Business Intelligence team, your key objective will be to assist in identifying and implementing key insights, in Better Collective’s value chain, deriving from probability models and forecasting models, hence be part of our Data Science project.
Moreover, contributing to analyses on large sets of data to identify commercially valuable insights to ensure that Better Collective can continuously make strategical and tactical decisions. You will work closely with our internal stakeholders and participate in relevant data science projects and continuously, provide high quality statistically valid commercial findings.
OUR IDEAL CANDIDATE
Has a high level of commitment, engagement and motivation
Has experience within Probability models and Forecasting models
Has an analytical mindset and an ability to grasp the whole value chain
Has interest in assessing and estimating: Churn, Customer lifetime and Customer lifetime value
Knowledge within R or Python
Has some experience within the field of quantitative methods, predictive modelling, statistics or similar
Studying in the field of statistics, mathematics, computer science or physics with a minimum of 1 year left in your education
You are able to commit to working between 20 - 25 hours per week.
We look forward to hear from you as soon as possible by submitting a motivated application and your CV. We will process your application quickly and give callbacks continuously until we find the perfect candidate.
Expected start date: as soon as possible.
If you have any questions about the position, you are welcome to write to Head of Business Intelligence Mathias Gitz Madsen at email@example.com.