This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Feedzai is the world’s first RiskOps platform for financial risk management, and the market leader in safeguarding global commerce with today’s most advanced cloud-based risk management platform, powered by machine learning and artificial intelligence. The Data Science Team within Customer Success is highly engaged with our clients making use of their critical thinking skills with a business-focused mentality and customer-facing attitude. They activate, maintain, and support clients, develop models and rules, and train & enable them. In addition, they work cross-functionally with other departments (e.g., Research, Product, Marketing) in a collaborative team spirit spanning the globe to ensure we deliver best in class risk prevention solutions.
Job Responsibility:
Understanding the data which our clients provide to us
Cleaning that data and validating that it is correct
Preprocessing the data, usually by using a mixture of shell scripts and a programming language such as Python, Java, Scala, etc
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
Requirements:
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)
Ability to communicate your findings in a clear way
Nice to have:
Knowledge of statistics or data visualization is a plus
Knowledge of tree based algorithms (Random Forests, XGBoost, LGBM) is a plus