MSc or PhD in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics or related field; Proficient in Machine Learning (training and testing, avoiding overfit, etc.); Knowledge of Big Data technologies such as Spark, Hadoop and related; Proficiency in bash, Python and either Java or Scala; Knowledge of resource monitoring and runtime optimization (both at JVM and OS level); Superior oral, presentation, and written communication skills; Fraud & Digital business domain experience (preferrable); Customer facing experience is a plus; Knowledge of statistics or data visualization is a plus; Knowledge of tree based algorithms (Random Forests, XGBoost, LGBM) is a plus; The Customer Success Team is responsible for delivering our product to our clients. Iteratively computing features and tuning parameters to improve the quality of the model; Communicating your findings to the project manager and assisting him/her in decision making on the Data Science part of the project; Work together with key stakeholders (data scientists, engineers, risk managers) from our clients; Work with other parts of the organization (Product, Research, etc.) to improve processes, best practices and tooling.