What is the type of contract for this position?

The contract for this position is a Full-time contract

Is telecommuting possible for this position?

No, telecommuting is not possible for this position

Data Science Product Owner

ABOUT THE TEAM

Revolut Retail is a suite of products that provide better and fairer ways for people to manage and control their money. Our mission is to build the best suite of financial services products for customers around the globe. Virtually everyone on the planet interacts with money. We are building game-changing products that will make their lives easier and keep them in control of their financial world. Each dedicated product team is responsible for all aspects of what they are building, from compliance and legal to business development and finance. Teams operate independently like a mini-startup within Revolut, with its own tech and design resources. This not only allows for fast-paced development and pivots, it facilitates passionate, close-knit teams that work closely together to achieve their goals. The Product Analytics Team has the responsibility of using data & analysis to drive strategic business and product development decisions across our Retail operations.

ABOUT THE ROLE

We’re building several product teams and looking for a lead Product Owner to achieve that vision. Each dedicated product team will be responsible for one part of this vision. These teams operate independently like mini-startups within Revolut, with their own tech and design resources. This not only allows for fast-paced development and pivots, it also facilitates passionate, close-knit teams that work closely together to achieve their goals. This specific team will provide other product teams and the executive team with timely data to make the decisions that will shape our business and our product.

WHAT YOU'LL BE DOING

Build a world-class analytical framework to track product performance at multiple levels

Build an attribution model to attribute business outcomes to product performance and interactions

Build and advance anomaly detection models and automated root cause analysis for product performance

Build growth analytic frameworks at product and market levels

You will be responsible for planning the team’s roadmap and ensuring successful delivery of KPIs

You will manage a team of talented Data Scientists and Engineers to create amazing user experiences

As a result, you and your team's work will make a difference to millions of people across the world!

WHAT YOU'LL NEED

Experience using data to drive business decisions

Experience driving product development through data (e.g. experimentation, logging, working with product teams)

Excellent communication and collaboration skills to partner with Product Owners and business heads

Experience leading a team within a scaling organisation

You are highly logical with technical background / education

Excellent knowledge of data science and analytics tools including, python coding, SQL and production tools

Demonstrable knowledge of machine learning and experience deploying statistical models into production is a plus (e.g., recommender systems, search algorithms, high frequency trading algorithms)

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Data Science Product Owner - Retail Product Analytics

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