Senior Data Scientist

Top 3 responsibilities

• Create and improve pipelines for tuning, lookbacks and impact analyses. For these pipelines we need to combine different complex TM model components in a smart and efficient way.

• Performing analyzes from start to finish: doing the intake, writing your code, visualizing the insights and presenting it back to the stakeholders.

• Designing and developing dashboards from front-end to back-end in production which enables rule tuning, rule development and getting insights in our daily detection.

Practical Examples

• Estimate the impact of proposed changes to parameters in the TM model on the efficiency of the model.

• Improving and optimizing our workflows such that our model can be tuned for even more parameter combinations.

• Build dashboards and bring them to production by collaborating with our platform squads.

Examples of dashboards we are currently working on:

- a TM rule performance dashboard such that it will be easier to optimize the rules of our TM system;

- an overview dashboard that will give more insight into our TM system;

- a transaction dashboard that can be used to develop new TM rules.