Wolt Development Sverige AB jobb

About the Consumer Group As the name Consumer Group implies, this group is responsible for building and developing Wolt’s consumer-facing products. The core mission is to master the user experience while scaling up the platform to enable delivering a mall in a pocket. About the Consumer Analytics Team The team partners closely with Wolt's product organization and business partners to make sure the right insights reach the right people at the right time, building a culture where data is a natural part of how we work, not a bottleneck or an afterthought. What you’ll be doing As a Senior Data Scientist at Wolt, your role involves diving into our data to solve crucial business problems. The scope of this role ranges from diagnosing problem areas to identifying solutions to designing experiments and ultimately influencing decision-making. This is a rare, operational, and actionable data-driven experience that requires a good mix of technical and stakeholder engagement skills. When you join this team, you will be driving action from the frontlines, rather than just doing yet another analytics or data science role. Data Scientists at Wolt take ownership of the business outcomes. If you enjoy finding patterns amidst the chaos, are excited to build from 0 to 1, and have experience using data science skills to solve business problems, we're looking for someone like you. Our humble expectations 5+ years of experience in a Data Analytics or Data Science position Experience working with product funnels and user journeys Proficiency in SQL and Python Expertise in statistical analysis, including A/B testing using statistical software packages in Python, R, or equivalent for product development (preferably consumer-facing) Experience in using AI in your work to accelerate work velocity, automate repetitive tasks, and generate SQL queries and experiment readouts Prior experience building intuitive data visualizations and dashboards that influence business decisions, utilizing tools like Tableau, Mixpanel, Looker, or similar Relentless pursuit of new ideas, and the ability to systematically tackle ambiguous problems with a data-driven, hypothesis-based approach

We are looking for a Staff Data Scientist, Marketing to join Wolt’s mission! About the role As a Staff Data Scientist supporting Wolt’s Marketing team, you will help shape how we use data to understand, improve, and scale our marketing investments. You’ll work on high-impact questions around growth, efficiency, customer acquisition, and marketing performance across Wolt’s markets. In this role, you’ll combine deep analytical expertise with hands-on collaboration, working closely with business teams to identify important opportunities, design robust measurement approaches, and guide decisions through data. From uncovering performance drivers to building scalable reporting, experimentation, and monitoring frameworks, you’ll help ensure we are focusing on the right opportunities and investing behind the ideas that truly work. What You’ll Do Own marketing measurement: Help improve how Wolt measures paid marketing performance across channels, campaigns, markets, and customer segments. Turn data into decisions: Analyze marketing performance to identify what is driving growth, where spend is efficient, and where teams should adjust investment or execution. Improve attribution quality: Develop practical ways to evaluate attribution, understand its limitations, and make performance reporting more accurate, trusted, and useful. Build scalable foundations: Create dashboards, analyses, experimentation approaches, and monitoring frameworks that help marketing teams make better decisions faster. You’ll move fluidly between hands-on analysis and business partnership, ensuring we don’t just report on marketing performance, but use data to improve how we invest, learn, and scale. Our humble expectations 6+ years of experience in an analytics, data science, marketing analytics, growth analytics, or other quantitative role. Proficiency in SQL, Python/R, and AI IDE tools, with the ability to work confidently with complex and imperfect business data. Hands-on experience analyzing marketing, growth, marketplace, consumer, or performance data to guide practical business decisions. Experience with experimentation, attribution, and measurement concepts, with the ability to apply them pragmatically in real-world business settings. Strong communication and business partnering skills, with the ability to structure ambiguous questions and drive work from analysis through recommendation.