Senior Applied Scientist, Merchant Experience

Sweden Job Openings

Wolt

Stockholm

FULL TIME

November 7, 2024

Engineering
Stockholm, Sweden · Remote
Full-time

Hey, you look like you might be our new Senior Applied Scientist, Merchant Experience

Engineering
Stockholm, Sweden · Remote
Full-time

Our Applied Scientists at Wolt design and deploy machine learning and applied science solutions that tackle some of our most complex business challenges. By leveraging advanced techniques like statistical analysis, machine learning, deep learning, and operations research, they enhance key processes across Wolt's platform and business operations, creating measurable impact in all 28 countries where we operate.
As an Applied Scientist, you’ll take ownership of use cases within a product development team—from identifying high-value opportunities to developing, prototyping, and deploying solutions, and ensuring they continuously improve in production. We work with a range of technologies, including Python, SQL, Snowflake, Flyte, MLflow, and Seldon Core, and always strive to optimize our workflows to support rapid experimentation and innovation.
We’re seeking an Applied Scientist to join our cross-functional Merchant Experience team within the Merchant Group. In close collaboration with software engineers, product managers, designers, and analysts, you’ll develop algorithms and data-driven solutions that empower our merchants with actionable insights. You’ll build machine learning models that deliver personalized recommendations for operational improvements and strategic product adoption, driving direct sales growth and enabling merchants to discover new opportunities and enhance performance.
This role can be based in one of our tech hubs in Helsinki, Berlin, or Stockholm. Read more about our hybrid and remote setup here.

Our humble expectations

We’re looking for an Applied Science enthusiast who is passionate about using data science to make a measurable impact. Here’s what we hope you bring:

Passion for Applied Science: You identify as a problem solver who loves leveraging data science and machine learning to drive business results and create real-world impact.
Expertise in Production-Ready ML Solutions: You know what it takes to build robust, scalable models suitable for large-scale deployments. You’re comfortable managing the entire lifecycle of data science projects, from ideation through to production and ongoing maintenance.
Strong Foundations in ML, Statistics, and Causal Inference: You bring a solid educational background and practical skills in machine learning, statistics, and causality, enabling you to design reliable and meaningful solutions.
Engineering Excellence: You’re skilled in writing production-level code and following engineering best practices, ensuring your solutions are efficient, maintainable, and scalable.
Clear Communication: You can effectively communicate complex technical concepts to non-technical audiences, bridging the gap between data science and business needs.
Analytical Problem-Solving: You excel at breaking down complex business challenges into clear, solvable machine learning problems, and designing data-driven solutions to address them.
Understanding of Experimental Design: You have a good grasp of experimental methodologies and analysis, allowing you to rigorously test and validate the impact of your solutions.

If you’re driven to make an impact through innovative machine learning solutions, we’d love to see how you can help us push boundaries!

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!
The compensation will be a negotiable combination of monthly pay and Door Dash RSUs. The latter makes it exceptionally easy to be excited about our company growing and doing well, as you’ll own a piece of the pie.
For any further questions about the position, you can turn to Product+ Talent Acquisition Partner - Fernanda (fernanda.prado.e.silva@wolt.com).

We regret to inform you that this job opportunity is no longer available as it has expired

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