Are you passionate about food tech and data? Do you enjoy crunching numbers, discussing statistics, and communicating intricate insights verbally and/or visually? Do you want to apply your skills to one of the largest food tech companies in the world? Then we would like to hear from you!

With over 90+ million active users across 20 countries, here at Just Eat Takeaway.com we're a global food tech company, connecting our customers from Amsterdam to Auckland with the food they love.
As a growing business, we're searching for opportunities to perfect our processes and implement methodologies that help our teams to thrive locally and globally. That's where you come in! As a Lead Data Scientist in our Experimentation and Causal Inference team, you will work at the intersection of data science, statistics, and analytics to help build the best customer experience possible.

Enabling data-driven decision making through fast, trustworthy and reliable experimentation at scale, you will work alongside data scientists, data analysts and data engineers to define our experimentation pipeline which enables causal inference and automates insight extraction from hundreds of experiments. Your work will be used across every product and business function, and enable a standard way of working for causal inference across tech and non-tech functions to evaluate the impact of changes made throughout our business. As lead data scientist, it is expected that you will teach your team new tricks from a scientific perspective as well as way of working. You will coach other data scientists, through code reviews and regular team stand-ups to discuss work done. Most importantly, your work will directly contribute to building the world's most customer-friendly food delivery app.

In this role, you will also have the opportunity to:

• Contribute to and maintain our data infrastructure for fast, trustworthy and reliable experimentation at scale, automating insight extraction from hundreds of experiments
• Work with a team of data scientists and analysts to design and execute experiments and analyze data, to draw causal inferences and discover insights about user behaviour
• Collaborate with other teams to identify opportunities for experimentation and causal inference, and to support the implementation of data-driven insights
• Define and implement success metrics in close collaboration with product managers, engineers, country managers, and other relevant stakeholders
• Communicate complex data-driven insights to stakeholders across the company, including senior leadership and other teams, visually and verbally
• Evangelize the importance of experimentation and causal inference throughout the company, building buy-in and support for data-driven decision making
• Stay up-to-date with the latest developments in experimentation and causal inference, and identify opportunities apply these techniques to business challenges
• Continuously improve the causal inference process, including the development of new best practices, tools and techniques to enhance the speed and accuracy

Here are the skills and experience we need from you:

• Analytical and quantitative skills, as evidenced by e.g., MSc/PhD in a quantitative discipline (e.g. econ, stats, cs, biomed, physics, epidemiology) or equivalent experience
• Significant experience wrangling and analysing data, with a proven track record of delivering data-driven insights that drive business decisions
• Communication skills will be paramount in this role. You need the ability to communicate business outcomes and recommendations from analysis verbally, in writing and during presentations
• Ability to explain statistical concepts and guide decision makers across all levels on the interpretation of results
• Experience with the design and analysis of experiments (A/B tests, RCTs, cluster RCTs, etc)
• Experience with causal inference methods applied to experimental or observational data, such as difference in difference, matching, regression discontinuity designs, instrumental variables, including an understanding of different treatment effects
• Ability to develop confidently in Python and SQL (Google BigQuery) with a good command of software development best practices or the willingness to learn
• Experience with data visualisation (Tableau, DataStudio)
• Some experience working in agile teams, with code reviews and Git
• Some familiarity with Snowplow/Google Analytics would be a plus

Here at Just Eat Takeaway.com, we offer our colleagues the chance to develop and grow alongside top talent in one of the world's leading food delivery companies. By providing a creative, dynamic and innovative environment, we empower our people and give them the ingredients for success.

Ready to join us as a Data Scientist - Experimentation and Causal Inference? Click Apply Now and send us your CV!

No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.

Want to know more about our company vision, culture or career growth oppor