Staff Data Scientist, Selection Analytics
Wolt Development Sverige AB
📍 Stockholm
⏰ Heltid
📋 Tillsvidareanställning (inkl. eventuell provanställning)
🗓 Ansök senast 6 juni 2026
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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 Do
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
developing metrics to unlock deeper insights into merchant selection quality for all markets
developing and running experiments to understand the impact of selection on specific markets
developing 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
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 Do
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
developing metrics to unlock deeper insights into merchant selection quality for all markets
developing and running experiments to understand the impact of selection on specific markets
developing 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