Predictive Algorithm Optimization

The Quality team is looking for 2 students that can help us to optimize our Predictive algorithm

Predictive analytics is on the rise and is used in all aspects to improve sales and operational activities. Axis is committed to secure customer satisfaction by continuous improvement of the quality of our products. Part of this is by monitoring and predicting our products' lifetime returns.

In this predictive analytics challenge, you will help us improve our algorithms used to predict the life time returns of our products. You will work on calculating the probability of returns for our products and modify and improve our existing algorithm by adding more dimensions and granularity to the return numbers.

The target is to modify and improve the predictive return rate algorithm so the output can be used in a Data Visualization tool like Qlik.

Who are you?

For this work we are targeting 2 students that have experience working with some of the following: Python, Matlab, R, Qlik, SQL.

You have preferably studied courses related to mathematical statistics, probability theory, programming, machine learning or other similar courses.

Please contact hiring manager Cai Remitz if you have any questions! 046-272 1007