Data Scientist (Marketing)

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.

We’re growing fast: Our community of 118 million registered users and 243,000 active partners across 19 countries, have together already prevented 443+ million meals from going to waste - avoiding over 1.198.000 tonnes of CO2e!

Your mission

We are seeking a talented and driven Data Scientist to join our newly established Demand and Marketing Analytics team. In this role, you will play a pivotal role in enhancing marketing effectiveness through advanced analytics and supporting demand forecasting initiatives, ensuring our marketing strategies are data-driven and impactful.

As a Marketplace, Marketing is one of Too Good To Go’s most powerful levers for driving demand. Consequently, a strong foundation in marketing metrics is essential for this role. The models and methodologies you will help develop are largely marketing-focused, emphasizing the importance of experience with causal impact modeling and econometric modeling.

That said, your role may extend beyond marketing. We are looking for someone who can also contribute to broader analytical initiatives, such as demand forecasting and other data-driven projects.

If you’re passionate about leveraging analytics to make a real-world impact and thrive in a dynamic, collaborative environment, we’d love to hear from you.

Your role

• Support business leaders in identifying and defining key performance indicators (KPIs) to drive marketing and business performance.
• Provide data-driven guidance to business leaders to inform strategic marketing decisions.
• Design and develop self-service analytical tools to empower marketing and other functional teams for operational excellence.
• Create and implement statistical and machine learning models to evaluate marketing effectiveness and optimize campaign strategies.
• Collaborate with marketing teams to understand their needs and translate them into effective models and tools.
• Conduct in-depth analyses to identify drivers of demand and quantify the impact of marketing initiatives.
• Create advanced analytical tools and models to enhance demand forecasting accuracy.
• Contribute to broader data-driven projects, leveraging advanced analytics to support company-wide objectives.

Requirements

• You have a minimum Master in econometrics, statistics, data science, or similar.
• Previous professional experience in data science, with a strong focus on statistical modeling and machine learning.
• Expertise in developing advanced models and analytical tools for time series forecasting and demand forecasting.
• Familiarity with marketing mix modeling is a plus.
• Understanding of marketing data and KPIs, or a strong appetite to learn this space.
• Proficient in SQL for data extraction, manipulation, and transformation, and Python for data preprocessing, statistical analysis, and model development; R is a plus.
• Hands-on experience collaborating with marketing teams, ideally in dynamic settings like hackathons, to deliver data-driven insights.
• Great communicator and storyteller, adept at helping non-technical marketing audiences understand data insights.
• Passionate about advancing analytical skills and fostering a data-driven culture.
• Fluent in English, with excellent written and verbal communication skills.

Our values

• We win together: Food waste is a big beast to fight. We believe in a #oneteam.
• We raise the bar: We always push for more. We work smart, smash barriers and elevate one another.
• We keep it simple: Our ambitions are bold but our solutions are simple.
• We build a legacy: We’re proud of the change we’re driving.
• We care: We always look out for each other. Caring is also about the way we do business. We do the right thing.

What We Have To Offer

• An 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 be an integral part of our Data & Analytics team. We are eager for you to make an impact and contribute to the role of analytics across key decisions and our solution processes. Your insights are valuable, and we are here to listen.
• Work-life balance is important to us! Focus on the job to be done, not the hours spent, there is no need for overtime.
• We trust in our employees and encourage an autonomous environment that provides several opportunities for employees to contribute, develop and take ownership of their work in a way that works for them.
• To be part of an international company, with over 1,300+ colleagues across 19 countries that are on the same important mission.
• An informal environment, working alongside 170+ passionate people within Tech & Product
• We celebrate our differences and our successes and have a strong values-driven team culture.
• We work in a hybrid set-up and value in office work weekly.

How to apply

• We take recruitment very seriously, so 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.
• Please note that we only accept applications coming through our platform. No CV will be accepted by email or LinkedIn direct messaging.

Job Ref: #LI-CT1

#LI-Hybrid

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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