Data Science Manager - Product AI

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.

We are looking for a passionate and driven Data Science Manager to join us in this exciting journey and support the definition and execution of Feedzai’s Product AI vision & strategy.

You:

The Data Science Manager 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 the management 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 manage and lead by example teams with a positive attitude bringing out the best of people.

As Data Science Manager for the Product AI team, you will lead a team responsible for maintaining and building innovative solutions supporting our data and machine learning initiatives, namely the Feedzai IQ suite of products. In this role you will work in mission-critical components of our stack, with the responsibility to meet stringent performance and reliability targets. Your leadership will ensure that our data scientists and engineers have the robust, scalable, and efficient tools they need to drive innovation and achieve our business objectives.

Your Day to Day

• Manage one team of data scientists/machine learning engineers from daily execution to performance and career management.


• Lead by example, care for your team, and establish credibility with the quality of your and your team's technical execution.


• Provide technical leadership to the team from driving architecture, design, and experimental setups up to doing code reviews.


• Be responsible for the planning, execution, and success of technical projects.


• Work with key stakeholders across all groups within the Engineering, Product, Research, and Customer Success Teams.


• Develop and empower top-class data science and technology practices in the teams.


• Closely work with the recruiting team to find and interview data scientists.

You Have & You Know-how

• 2+ years of Team Leading and/or Management experience in managing technical projects and DS/ML teams


• 3+ years of experience in applied ML


• 5+ years of experience in data science


• Capable of leading by example not being afraid to take risks and going beyond what’s expected

We Value If You Have:

• Experience working on customer-facing Data Science initiatives


• Experience working with real-time inference


• Experience working with distributed processing frameworks such as Spark


• Experience working on the fraud detection domain