At Too Good To Go, we have an ambitious goal: to inspire and empower everyone to fight food waste together.
40% of all
food produced in the world is wasted. And that has a huge impact on the health of our planet, with 10% of greenhouse gas emissions
coming from food waste.
We’re more than an app: we are a certified B Corporation with a mission to empower everyone
to take action against food waste, so alongside our marketplace app, we create educational tools, explore new business solutions -
such as our Retail Technologies offering, and influence legislation to help reduce food waste.
Our community of 133 million registered users and 261,000 active partners across 21 countries, have together already prevented
517+ million meals from going to waste - avoiding over 1.397.000 tonnes of CO2e!
Your
mission
We are looking for a Data Scientist to join our Product Analytics and Center of
Excellence team at Too Good To Go.
In this role, you will help build and scale data science capabilities
across product and business domains, enabling smarter, more automated, and more impactful decision-making.
As a
marketplace, many of our most critical challenges revolve around supply-demand dynamics, user behavior, and marketplace
efficiency. You will work on problems such as personalisation, optimisation, and forecasting, helping us
move from reactive analysis to proactive, model-driven systems.
You will work as part of the
Center of Excellence, partnering closely with Product, Analytics, and business teams through high-impact,
project-based collaborations.
identify high-impact opportunities where data science can drive step-change improvements
deploy machine learning models and statistical methods to solve problems such as: Personalisation and
recommendation systems, Marketplace optimisation (e.g. ranking, matching, supply-demand balance) and Demand and supply
forecasting.
products
impact
Center of Excellence, working in an embedded, project-based model
ownership, from problem framing to model development and impact evaluation
science best practices, tools, and standards across the company
experience applying machine learning and statistical modeling to product or business problems
in at least one of the following areas: Personalisation / recommendation systems, Marketplace or optimisation problems,
Forecasting (time series or causal)
ownership and comfort working in a fast-paced, evolving environment
excellent written and verbal communication skills.
waste is a big beast to fight. We believe in a #oneteam.
barriers and elevate one another.
build a legacy: We’re proud of the change we’re driving.
about the way we do business. We do the right thing.
opportunity to work in a global social-impact company and certified B Corporation! where you can see a real and tangible impact in
your role.
to the role of analytics across key decisions and our solution processes. Your insights are valuable, and we are here to
listen.
overtime.
employees to contribute, develop and take ownership of their work in a way that works for them.
international company, with over 1,300+ colleagues across 19 countries that are on the same important mission.
informal environment, working alongside 170+ passionate people within Tech & Product
our successes and have a strong values-driven team culture.
weekly.
as your first stage interview.
please carefully read everything we have written above. Please also check our website and international media in order to get a
good overview of Too Good To Go.
through our platform. No CV will be accepted by email or LinkedIn direct messaging.
Job Ref: #LI-CT1
A Movement for
Everyone
We want to inspire and empower everyone to fight food waste together. With that
mission, it’s only natural that we want to build a diverse and inclusive team of highly capable individuals who are passionate
about doing things in a better way. We strongly believe we all excel and are more creative when we’re allowed to be ourselves, and
we’re committed to a culture where all of us belong.
We are an equal opportunity employer
and all employment is decided on the basis of qualifications, merit and business need. If you need reasonable accommodation at any
point in the application or interview process, please let us know.
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