.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. Feedzai is securing the transition to a cashless world while enabling digital trust in every transaction and payment type. The world's largest banks, processors, and retailers trust Feedzai to protect trillions of dollars and manage risk while improving the customer experience for everyday users, without compromising privacy. Feedzai is a Series D company and has raised $282M to date. With a valuation of +$1.5B, the company's technology protects 900 million people in 190 countries. 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. Being on the frontline of fighting crime and protecting people from financial harm is incredibly inspiring to each of us. Join Us! Your Day to Day: Understanding the data which our clients provide to us; Cleaning that data andvalidating 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 keystakeholders (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. You Have & You Know-how: 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); Knowledge of statistics or data visualization is a plus; Knowledge of tree based algorithms (Random Forests, XGBoost, LGBM) is a plus; Knowledge of Deep Learning algorithms is a plus; Ability to communicate your findings in a clear way. The Customer Success Team is responsible for delivering our product to our clients. This includes education, configuration, solution development, and risk strategy to enable our clients to address their pain points
