.Build your career at the best companies in healthcare and fintech 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 Product Team builds our product to disrupt the financial crime industry from a data-led approach. We partner with our clients using a holistic lens and have result-driven solutions to manage financial risk with a cloud-first platform and a world-class UX. Being part of this team, you have a voice in planning, strategizing, and challenging the status quo. Your thoughts and ideas are valued. Our fast-paced and open environment encourages us to lean in, try new things, and discover our potential. We define and act on what could be in tomorrow's world, not on what is today. You: We are looking for a passionate and driven data scientist to join us in this exciting journey and support the definition and execution of Feedzai's Product AI vision & strategy. Your Day to Day: Understanding the data Feedzai generates and processes. Processing data using the Python scientific stack (NumPy, Pandas, SciPy, Scikit-learn, ...). Work with very large data sets by leveraging distributed computing, e.G. with PySpark. Contributing to in-house Python tools used by other Feedzaians as well as customers, as part of our ML Ops toolset. Communicating your findings to Product Managers and other relevant stakeholders. Work together with a functionally diverse team of product managers, data scientists, software engineers, UX, etc. Work with other parts of the organization (Customer Success, Research, etc) to support innovation from inception to adoption. 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.). Proficiency in Python and optionally Java. Comfortable around the terminal and shell-scripts. Knowledge of Big Data technologies such as Spark, Hadoop and related is a plus. Knowledge of statistics or data visualization is a plus. Knowledge of tree based algorithms (Random Forest, XGBoost, LightGBM) is a plus. Knowledge of Deep Learning algorithms is a plus
