• Collect, organize, and wrangle data from SAP and non‑SAP sources; build reusable analytics and data pipelines • Clean, validate, and preprocess structured and unstructured datasets to ensure high‑quality inputs for analysis • Conduct statistical and exploratory analyses to identify trends, patterns, and business insights • Develop predictive and prescriptive models using SAP Analytics Cloud Predictive or external ML frameworks integrated with SAP data • Enhance data collection procedures to support analytic system development • Create dashboards, KPIs, and data visualizations to clearly communicate findings to business stakeholders • Support data reconciliation and KPI validation between source systems and analytics outputs • Collaborate with IT, business analysts, and leadership to implement data‑driven solutions • Design and deliver AI/ML‑based decision‑making frameworks; measure and justify model value.

• Analyze data to support or disprove a thesis • Select and implement the right tools for the job • Build, train, test, and validate models • Engineer models into production • Document your work clearly • Monitor and improve models in production • Explore agentic and reasoning systems • Perform other duties as assigned

• Extract, analyze, and interpret complex structured and unstructured datasets to generate actionable insights for internal stakeholders and external clients • Lead the design, development, validation, and deployment of predictive, statistical, and machine learning models that solve high-impact business problems • Design and implement data models and algorithms supporting forecasting, optimization, anomaly detection, personalization, and decision automation • Partner with product, engineering, and business teams to identify high-value opportunities where data science can drive measurable outcomes • Translate analytical insights into production-grade data products, APIs, and scalable solutions • Design and execute experiments (A/B testing, hypothesis testing) and deliver clear, data-driven recommendations • Develop dashboards, visualizations, and self-service analytics tools to democratize insights across technical and non-technical users • Analyze data to improve product performance, operational efficiency, customer experience, and revenue outcomes • Evaluate new data sources and data collection methodologies to ensure quality, accuracy, and relevance • Build frameworks and processes to monitor model performance, drift, and data integrity over time • Document methodologies, assumptions, and results to ensure transparency, reproducibility, and knowledge sharing • Communicate insights and recommendations effectively to senior leadership and cross-functional stakeholders

Role Description 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 - Identifying solutions - Designing experiments - 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. Qualifications - 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 Benefits - Interesting and complex challenges with opportunities to create a big impact with your skills - Access to lots of geolocational and temporal data in real-time - Flexibility to choose your location from our tech hubs in Berlin, Helsinki, and Stockholm, or work entirely remotely in Germany, Finland, and Sweden - Ability to decide the ways of working: hybrid, at the office, or remote - A company culture that emphasizes ownership, humility, kindness, and continuous learning 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 Senior Talent Acquisition Partner - Zhanna Filintseva (zhanna.filintseva@wolt.com) 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.