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Staff Data Scientist, Selection Analytics

Wolt - English · Berlin, Berlin, Germany

May 7, 2026

Job Summary

Join Wolt as a Staff Data Scientist in Selection Analytics to optimize the portfolio of restaurant and retail stores across 32 countries. Develop ML models, craft metrics, conduct experiments, and collaborate with sales teams and leadership to drive growth.

Key Responsibilities

  • Develop and deploy production-level ML models
  • Craft metrics to analyze merchant selection quality
  • Conduct experiments to assess selection impact on markets

Who This Role Suits

  • 3-5 years of experience in data science or related field
  • Proficiency in Python & SQL
  • Experience with experimental design and statistical methods

Tips to Apply

  • Highlight your experience in data science and quantitative roles
  • Showcase your proficiency in Python, SQL, and statistical analysis
  • Demonstrate your ability to drive strategic projects with cross-functional teams

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Full Job Description

About Wolt

At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we're building the delivery of (almost) everything and you'll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn't always easy, but it's definitely exciting. Here you'll learn more, build more, and ship more than in most other companies. You'll be challenged a lot, but also have a lot of fun on the way. So, if you're a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.

We are looking for a Staff Data Scientist to join Wolt's mission in Finland, Sweden, or Germany!

About the role

The Selection Analytics Team at Wolt owns the data and infrastructure that helps all 32 of our country teams build a portfolio of high-quality restaurant and retail stores. Our overarching mission is to provide customers with the best selection by enabling sales teams across all markets to acquire the best merchants.

To do this, we work directly with country sales teams to help them identify and prioritize the highest potential merchant candidates. We also work with Wolt leadership by providing metrics to track selection quality, upon which they develop strategic initiatives and goals. This is a lean and mighty team that owns and operates the engine for merchant acquisition globally.

What you'll be doing

As a senior member of the Selection Analytics team, your role involves leveling up our approach to identifying and prioritizing better merchants. You'll achieve this by:

  • Developing and deploying production-level ML models
  • Crafting metrics to unlock deeper insights into merchant selection quality for all markets
  • Conducting experiments to understand the impact of selection on specific markets
  • Work on self-serve tooling to track these insights.

This is also a rare, high-exposure experience where you will then use your findings to work directly with country leadership to help them uncover growth opportunities. When you join this team, you will be driving action from the frontlines, rather than just crunching numbers and creating dashboards.

Our humble expectations

  • 3-5 years of experience in data science, consulting, or a related quantitative role
  • Fluent in Python & SQL
  • Strong exploratory data analysis skills, willingness to look under the hood
  • Exposure to experimental design (A/B testing) and key statistical methods
  • Experience in feature engineering, model design, evaluation, diagnostics, and monitoring
  • Knowledge of MLOps concepts and tools (e.g. MLflow, Flyte)
  • Determination to initiate and lead/own strategic projects to completion with a cross-functional team
  • Innate curiosity to understand how things work and a first-principles approach to problem solving

What we offer

  • The online delivery platform that Wolt is building will offer you interesting and complex challenges together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time combined with differences in the economics and dynamics of the cities we operate in make Wolt both a challenging and so interesting company to practice analytics. 
  • You can work onsite at our offices in Helsinki, Stockholm, or Berlin. Alternatively, you can work remotely anywhere in Finland, Sweden, or Germany. You have the chance to decide the ways of working — a hybrid, at the office, or remote, within the location above. 💙 
  • You would 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, recognize 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.

Next steps

The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us! 

For any further questions about the position, you can turn to the Product+ Talent Acquisition Partner - Zhanna Filintseva -----

Our Commitment to Diversity and Inclusion

We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

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Skills

Frequently Asked Questions

This Staff Data Scientist, Selection Analytics position is suitable for Mid-level professionals. Wolt - English is looking for candidates with proven experience in the key skills mentioned, typically 2-5+ years depending on the specific requirements.
This Staff Data Scientist, Selection Analytics position requires on-site or hybrid work. Check the job details for the specific location and flexibility options.
Key skills for this Staff Data Scientist, Selection Analytics position include: python, go, ios. Having a strong foundation in these areas will make your application competitive. Experience with related tools and frameworks is also valuable.
To apply, click the 'Apply' button on this page, which will direct you to Wolt - English's application portal. Have your resume, portfolio (if applicable), and a compelling cover letter ready.
Salary ranges vary based on experience and location. Check the job posting for specific compensation details, or research similar Staff Data Scientist, Selection Analytics positions in your area.
Highlight relevant experience with python, go, ios. Include specific projects, achievements, and measurable results. Tailor your resume to match the job description, focusing on how your background aligns with Wolt - English's needs.
Most hiring processes take 2-4 weeks from application to offer. This may include initial screening, technical assessments, interviews, and background checks. Wolt - English will keep you informed throughout each stage.

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