The Product Data Science role requires an engineer at heart who is able to lead and guide Data Science/Machine Learning teams to deliver Feedzai financial crime fighting products. The role requires deep data science knowledge, allowing the teams to have strong support at a strategic level. Besides technical leadership, you will hire top-class data scientists/machine learning engineers, as well as plan the execution of product development driven by the product management team. You need to be able to lead by example with a positive attitude bringing out the best of people. This role is key to achieving success at Feedzai making sure we always give clients the features they need, in the perfect timing and with the desired quality.
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 statistics or data visualization
- Knowledge of tree based algorithms (Random Forests, XGBoost, LightGBM)
- Knowledge of Big Data technologies such as Spark, Hadoop and related is a plus.
- Knowledge of Deep Learning algorithms is a plus.
- Ability to communicate your findings in a clear way
The Product Team builds our product to disrupt the RiskOps/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 user experience. 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.
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