• 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.

Role Description We are seeking a driven and creative Data Scientist with a minimum of 3 years of experience in a data science or machine learning role, who will be instrumental in building predictive models, testing hypotheses, and providing statistically sound insights that enhance our lead generation capabilities. The Data Scientist will be part of our analytics team, working closely with IT, marketing, media buying and CRO teams to transform raw data into actionable insights. - Leverage agentic AI-assisted development tools throughout the workflow, from exploratory analysis and feature engineering to model development and pipeline building. - Design, develop, and deploy machine learning models to segment and score landing page visitors based on intent and lead quality. - Engineer predictive features from raw user behavior data to improve model accuracy and business relevance. - Build and maintain real-time scoring pipelines that enable dynamic postback signals to ad networks. - Collaborate with marketing and analytics teams to define quality/intent tiers and translate business logic into quantifiable model outputs. - Conduct exploratory data analysis and experimentation to uncover patterns in user behavior that correlate with downstream lead quality and conversion outcomes. - Continuously monitor, evaluate, and iterate on model performance, ensuring alignment with evolving business goals and traffic patterns. - Contribute to forecasting and budget projection initiatives as needed. - Clearly communicate, document and present findings, methodologies, and model specifications for cross-functional, non-technical stakeholders. - Support data-driven decision-making by quantifying uncertainty, assessing statistical significance, and challenging assumptions. - Identify and quantify relationships between behavioral signals, traffic sources, campaign attributes, and lead quality outcomes. - Serve as an analytical partner to media buyers and marketing teams. Qualifications - 3+ years of experience in data science, machine learning, or a related quantitative role. - Comfortable working in agentic AI-assisted development environments (e.g., Cursor, ClaudeCode, Antigravity). - Strong proficiency in Python, including ML libraries such as scikit-learn, XGBoost, LightGBM, or similar. - Solid experience with feature engineering, particularly from behavioral, clickstream, or event-based data. - Familiarity with deploying models in production environments; experience with real-time or near-real-time inference is a strong plus. - Strong foundation in statistical inference, hypothesis testing and root-cause analysis. - Proficiency in SQL and experience working with large-scale datasets. - Understanding of classification, regression, and clustering techniques. - Exposure to digital marketing concepts and KPIs (CPL, CVR, ROAS, etc.) is highly desirable. - Ability to translate vague business questions into testable hypotheses and structured analyses. - Excellent problem-solving skills with the ability to work through ambiguity. - Strong communication skills with the ability to explain technical concepts to non-technical stakeholders. - Team-oriented mindset with a collaborative and proactive approach. - Upper-Intermediate or higher level of English. Requirements - Experience building or using custom skills, prompt workflows, or tool-use patterns within agentic coding environments. - Experience in lead generation, ad-tech, or performance marketing environments. - Familiarity with ad network optimization, postback mechanisms, or conversion APIs. - Experience with cloud platforms and MLOps tools. - Background in time-series forecasting or demand modeling.

Role Description As a Senior Data Scientist, reporting to the Head of Data Science in our Data & Analytics team, your purpose will be to build and own machine learning powered features that directly improve our customer app and marketplace experience. - Work on customer-facing problems such as: - Search and ranking - Recommendations - Segmentation - Lifecycle modelling including activation, churn, and reactivation - Lead scoring - Personalization - Operate end to end, from shaping ambiguous product ideas into clearly defined problems, through modelling and experimentation, to deploying and monitoring production systems. - Take real ownership, which may include: - Contributing to data pipelines - Partnering closely with engineers on real-time systems - Ensuring models are robust, scalable, and measurable against business KPIs such as conversion, retention, and revenue. - Collaborate cross-functionally with Product, Engineering, Marketing, and Pricing, acting as both a technical expert and a structured problem-solver. Qualifications - Proven experience delivering machine learning solutions end to end in production, ideally in a marketplace or customer-facing product environment. - Strong experience with behavioural and customer data, including segmentation, lifecycle modelling, scoring, search, or recommendation systems. - Strong Python and SQL skills, with the ability to work across modelling and data preparation. - Experience working with cloud platforms, GCP preferred and AWS also welcome, and understanding how data pipelines are built and maintained. - Demonstrated ability to define problems clearly, engage stakeholders, and communicate impact in commercial environments. - Conversational-level English language skills. Requirements - Experience applying NLP and LLMs to real product use cases. Generative AI is a plus but not the whole role. - Experience working with real-time or near real-time systems. - Exposure to pricing or marketing optimisation problems. Benefits - This is a fully remote position. We take pride in being a globally distributed team. - A generous holiday allowance of 26 days plus public holidays. - Access to a global learning and development program, wellness benefits, and discounts across partner platforms.