Data Scientist, Experimentation
Stockholm, Sweden
Company Description
Wolt is a technology company that makes it incredibly easy to discover and get the best restaurants, grocery stores and other local shops delivered to your home or office. Wolt is not just a delivery app – we’re a technology company building a commerce platform to seamlessly connect our millions of customers with thousands of merchant and courier partners, in real-time across 23 countries and 250+ cities. Our apps (iOS and Android) have the industry’s highest ratings, largely thanks to our customer-first-mindset, which shows in how we build products and run operations. In June 2022 we officially joined forces with DoorDash. Combined, we have a presence in 27 countries, 23 of which operate with the Wolt brand and app. Wolt and DoorDash continue largely independently, with Wolt’s name, brand, product, technology and team.
Working in Product Development at Wolt
At Wolt, we’re about getting things done. You’ll probably enjoy it here if you like taking ownership, developing yourself and being around friendly, humble and ambitious people.
The behind the scenes of Wolt is run by an awesome bunch of over 400+ planners, builders, designers and data crunchers. We call ourselves Product+, as we’re the very core of Wolt’s products, tools and platforms. To build our products, we work in over 40 cross-functional, independent and autonomous teams. Teams are made up of a mix of talented individuals: engineers, designers, data scientists, analysts, and product leads. Each team takes ownership for solving customer problems in the best possible way.
Our Commitment to Diversity, Equity & Inclusion
We want to have all sorts of people in our team – people like you and me, and people different from you and me. To be able to work with diverse teammates – when it comes to gender, age, ethnicity, life background, sexual orientation, political views, religion, or any other personal trait – we consciously aim to offer equal opportunity for everyone to work with us. This is because we believe diverse teams make the most thought-through decisions and build things in the most inclusive way.
Join us today to build Wolt together!
#LI-MARCO
Job Description
During 2021 we worked on the foundation of our Experimentation practices at Wolt, rolling out tools to support managing, running and monitoring experiments. We also started building the experimentation culture, having our consumer clients services as pioneers in this journey.
In 2021 over 50 experiments have been carried out, helping to gather insights in tens of different areas, and as of 2022 we have been running 50+ experiments at all times. We are investing in expanding our experimentation platform capabilities to handle many more use cases, while improving overall experimentation tooling, practices and standards across the company.
We are now looking for a data scientist to work embedded in the experimentation platform team, to have a direct impact on how we do experimentation at Wolt. We expect that you would:
- Lead the effort in building robust, standardized and efficient methodologies in our experimentation platform to ensure high-quality setup and trustworthy results to aid decision making.
- Advise teams across Wolt to help them design and run experiments with the appropriate setup for different use cases, while also identifying the opportunities to automate the experimentation efforts within the platform.
- Educate stakeholders on experimentation theory, concepts, best practices, and advise on setting the standards for experiment design for the organization.
- Develop and adopt statistical methods (e.g. stratification, variance reduction) to make sure we have the proper experiment setup and measurements in different types of experiments.
- Collaborate with product teams across the company to find technical solutions to a variety of experiment design challenges.
- You would be working together with software and data engineers in the team, but also with data analysts, data scientists and product leads in different parts of the company, as the main stakeholders of the platform.
Qualifications
- You have plenty of hands-on experience working with experimentation and A/B-testing, and ideally also familiarity with other experimentation techniques (switchback experiments, causal inference, quasi-experiments)
- You have a deep understanding and experience in applying Bayesian statistics. Solid understanding of machine learning is a bonus.
- You’ll have fluent programming skills in Python, which is our main language for data science projects, and experience with databases (SQL)
- You’re analytical and curious, we’re looking for a self-starter with a drive to get things done.
- We expect great communications skills and proactiveness, as this position involves interacting with stakeholders in different domains.
- Ideally, you’ll also have a degree in a field relevant to data science.
Our offering to you
- Small yet growing data science team around you so there will be plenty of opportunities for you to grow as a Data Scientist.
- You can choose the location from our tech hubs Helsinki or Berlin, or you can work entirely remotely anywhere in Finland, Germany, Sweden and Estonia. You have the chance to decide the ways of working —· a hybrid, at the office, or remote within the location above. 💙 Read more about our remote setup.
- At Wolt, you’ll get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognise that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement. Read more about how we work. 🤩
Additional Information
The position will be filled as soon as we find the right person, so make sure to apply as soon as you realise you really, really want to join us!
Once we get your application, we can further discuss how to match your ambition with the different roles we’re having in the Data Science team.
If you’d like to check up on your application or have any further questions about the position you can turn to Marco Ohde, our Talent Acquisition Partner for Analytics & Data Science at any given time. We’re always happy to have a chat. 👋
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Bayesian Causal inference Machine Learning Python SQL Statistics Testing
Perks/benefits: Career development Home office stipend Salary bonus
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