Senior Data Scientist, Consumer Product Analytics

Wolt

ABOUT WOLT At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. We’re looking for an experienced Analytics Manager to join Wolt in Berlin, Stockholm, Helsinki, or London! ABOUT THE MARKETING ANALYTICS TEAM In the Marketing Analytics team, we are focused on improving the effectiveness of our marketing spend and boosting Wolt’s growth. We work across a broad set of marketing questions, helping teams understand what is working, where to invest, and how to improve marketing performance across Wolt. We partner with Marketing, Product, and Strategy & Operations teams closely to guide measurement and tactical decision-making using advanced analytics. Considering the scale of Wolt’s marketing function, there are many exciting problems to be solved and plenty of opportunities to make a business impact! You’ll be part of this team working with top Data Science and Analytics Engineering professionals. As we grow the next level of maturity in Marketing Analytics, you’ll help shape the roadmap, develop the team, and build the operating rhythm that turns analysis into better business decisions. WHAT YOU’LL BE DOING As an Analytics Manager at Wolt, you are essential in revolutionizing our marketing strategies. You’ll define the analytics roadmap for the team, prioritize the most important business questions, and ensure the work leads to clear decisions and follow-through. Acting as a critical partner to senior business and product leaders, this role will drive the Marketing domain forward, shaping the future of our initiatives. Key responsibilities include defining and monitoring key performance indicators to gauge the effectiveness of innovative marketing initiatives. The role offers an exciting opportunity to brainstorm 0-to-1 growth investment opportunities and establish the foundation for our marketing investment framework. You’ll lead, coach, and develop a team of Data Scientists, helping them stay close to the business and deliver work that improves marketing decisions and outcomes. Success in this role requires exceptional leadership and project management skills, along with strong communication and interpersonal abilities. Collaborating effectively with cross-functional teams will be crucial in fostering a culture of shared success and innovation. This position offers a thrilling opportunity to shape the future of growth at Wolt! OUR HUMBLE EXPECTATIONS * 6+ years of experience in a Data Analytics or Data Science position, with 2+ years of leadership experience. * Experience in leading large teams (5-10 direct reports) * Prior experience in hiring and mentoring skilled members for your data science teams. * Expertise with SQL and statistical analysis using Python, R, or equivalent. * Strong understanding of experimentation, attribution, media mix modeling, and marketing measurement concepts, with a pragmatic approach to applying them to business decisions. * Clear communication and strong business partnership skills, with a track record of turning analytical work into decisions, actions, and measurable impact. WHAT WE OFFER * The online delivery platform that Wolt is building will offer you interesting and complex challenges, together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time, combined with differences in the economics and dynamics of the cities we operate in, make Wolt both a challenging and interesting company to practice analytics! * You can choose the location from our tech hubs in Berlin, London, Helsinki or Stockholm. You have the chance to decide the ways of working: hybrid, at the office, or remote within Germany, the UK, Finland or Sweden. 💙 * You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement. 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 via 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.

Zasta

WAS DU BEI UNS MACHEN WIRST: Als Senior Data Engineer spielst du eine Schlüsselrolle beim Aufbau unserer Databricks-basierten Analytics-Plattform. Du schaffst skalierbare Pipelines, robuste Datenmodelle und Strukturen, die Teams befähigen, jeden Tag bessere Entscheidungen zu treffen. Diese Rolle ist ideal für dich, wenn du technische Exzellenz mit Pragmatismus verbindest, Verantwortung übernehmen willst und Data Engineering als echten Business-Hebel verstehst. Was bedeutet das konkret? * End-to-End Data Engineering, das einen echten Unterschied macht: Du entwickelst skalierbare, stabile Pipelines auf Basis moderner Databricks-Standards — von Delta/Medallion Architekturen über Orchestrierung bis hin zu Monitoring und Data Quality. Dabei sorgst du für ein robustes Fundament, auf dem alle Teams (Marketing, Produkt, Operations, Analysten) verlässlich arbeiten können. * Daten so modellieren, dass sie für alle funktionieren: Du baust wiederverwendbare Datenmodelle und eine saubere semantische Layer-Struktur, definierst Metriken und stellst sicher, dass sie auch eindeutig interpretierbar sind. * BI-Strukturen schaffen, die skalieren: Du etablierst Standards und Governance-Strukturen im Databricks-Umfeld und stellst sicher, dass unser BI-Stack wachsen kann, ohne chaotisch zu werden. * Technical Debt reduzieren — Produktivität erhöhen: Du erkennst, wo Komplexität hinderlich wird, und baust Strukturen, die pragmatisch, sauber und zukunftsfähig sind. Du priorisierst, triffst Entscheidungen und setzt klare Leitplanken für nachhaltiges Wachstum. * Stakeholder befähigen, statt nur zu bedienen: Du arbeitest eng mit Business, Marketing, Product und Data Analytics zusammen, verstehst Anforderungen frühzeitig und übersetzt sie in skalierbare, technische Lösungen. Dabei unterstützt du Teams aktiv darin, verlässlich und selbstständig mit Daten zu arbeiten. * Erfolgreich im Team: Du arbeitest direkt mit unserem Head of Analytics Simon zusammen und wirst Teil unserer Vision, Entscheidungen bei Zasta nachhaltig datengetrieben zu gestalten und damit messbar zu Wachstum und Profitabilität beizutragen. WAS DU IDEALERWEISE MITBRINGST: * Technisches Fundament: Mehrjährige Erfahrung mit Databricks (SQL/Warehousing) sowie im Aufbau effizienter, stabiler Pipelines inkl. Orchestrierung, Monitoring und Data Quality. Starke Modellierungs- und KPI-/Metrics-Kompetenz. * Architektur & Governance: Du hast bereits skalierbare BI-/Analytics-Strukturen aufgebaut und hast dabei nachweislich persönliche Erfolge erzielt, die direkt auf die Unternehmensziele eingezahlt haben. * Kommunikation: Deutsch auf C1-Level ist erforderlich, da du komplexe Sachverhalte organisationsweit vermitteln und Entscheidungen moderieren wirst. Du kannst Anforderungen klar kommunizieren. * Nice to have: Erfahrung mit Metabase und mehrjährige Berufserfahrung im B2C-, App- oder Marketing-Umfeld. WAS WIR DIR BIETEN: * Wir sind ein profitables Unternehmen, das nachhaltig wächst. Unser Management kennt jeden, der bei uns arbeitet. * Mit Büros in Rostock und Berlin kannst du frische Seeluft schnuppern oder dich vom Großstadtdschungel mitreißen lassen. Regelmäßige Besuche und Team-Events sorgen für das Gemeinschaftsgefühl. * Je nach Standort treffen wir uns an zwei Tagen die Woche vor Ort im Büro - dienstags und mittwochs in Rostock und mittwochs und donnerstags in Berlin. Die restlichen Tage kannst du dir aussuchen, von wo aus du arbeitest. Falls du an den Präsenztagen mal nicht ins Büro kommen kannst, gibt es Jokertage, die du flexibel einsetzen kannst. * Tapetenwechsel inklusive - bei Zasta hast du 30 Tage Urlaub im Jahr und die Möglichkeit, bis zu 4 Wochen am Stück innerhalb Europas zu arbeiten. Du bist dir nicht sicher, ob du alle Anforderungen für diese Stelle erfüllst? Wir freuen uns trotzdem über deine Bewerbung. Vielleicht bringst du etwas Besonderes in das Team ein, das wir bisher nicht in Betracht gezogen haben. DEIN KONTAKT BEI ZASTA: Wenn du Fragen zur Stelle hast, kannst du uns jederzeit über jobs@zasta.de schreiben. Bewerbungen können wir nur online über die Plattform akzeptieren. Wir freuen uns, von dir zu lesen! Gina Kreipe-Pflüger Head of HR

AB InBev

About us AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa. About AB InBev Growth Group Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world. In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft. We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities. About BEES At BEES, our ambition is – and always will be – to put customers at the heart of everything we do, making their lives easier and their businesses more profitable. Through our B2B e-commerce and SaaS platform, we bring the power of digital to small and medium-sized retailers, unlocking new growth opportunities for all. The BEES AI organization drives data science and machine learning strategy across customer-facing products, logistics, fintech, and operations. We build end-to-end intelligent systems that optimize commercial execution, improve customer engagement, and enhance operational efficiency at global scale. As a member of the BEES Frontline Data Science team, you will develop data-driven solutions that power sales force effectiveness, customer coverage strategies, and execution consistency across markets. What you'll do: * Be part of a high-impact data science team building intelligent systems that support sales execution and customer engagement at a global scale. * Design, develop, and deploy machine learning models and optimization solutions across the full lifecycle — from research and experimentation to production — focusing on customer segmentation, visit planning, and execution strategy. * Apply advanced techniques such as statistical modeling, clustering, optimization, and model explainability to generate actionable insights and improve decision-making. * Translate complex commercial and operational problems into scalable data science solutions, incorporating business rules, constraints, and edge cases. * Lead and contribute to experimentation and performance evaluation, ensuring models are robust, interpretable, and aligned with business objectives. * Write production-grade code and build reusable data and modeling pipelines that operate reliably at scale. * Collaborate closely with engineers, product managers, operations teams, and business stakeholders to ensure solutions are effectively integrated into frontline tools and processes. * Drive technical excellence by exploring and applying state-of-the-art methodologies in machine learning, optimization, and analytics. * Ensure model transparency and trust by leveraging explainability techniques and clearly communicating model behavior and trade-offs to stakeholders.  What you'll need: * Strong foundation in mathematics, statistics, and problem-solving. * Bachelor’s degree in Mathematics, Statistics, Engineering, Computer Science, or a related quantitative field; Master’s preferred; PhD is a plus. * Proven experience applying machine learning, clustering, optimization, or advanced analytics to real-world problems in production environments. * Experience with complex systems involving uncertainty, business constraints, and large-scale structured and unstructured data. * Proficiency in Python for data analysis, modeling, and production workflows; experience with distributed processing (e.g., Spark / PySpark) is a plus. * Familiarity with at least one of the following domains: customer analytics, route-to-market strategy, or commercial operations. * Experience with model explainability techniques (e.g., SHAP, feature importance, dimensionality reduction methods such as PCA) and interpreting model outputs for business use. * Experience with experimentation frameworks, model validation, and performance monitoring. * Strong understanding of software engineering best practices, including version control, CI/CD, and reproducible workflows. * Ability to work with ambiguity, challenge assumptions, and translate complex business needs into structured analytical solutions. * Excellent communication skills, with the ability to explain complex models, trade-offs, and insights to both technical and non-technical audiences. What we offer  • Performance-based bonus*  • Attendance bonus*  • Private pension plan  • Meal allowance  • Casual office and dress code  • Days off*  • Health, dental, and life insurance plans  • Discounts on medications  • Partnership with WellHub  • Childcare assistance  • Discounts on Ambev products*  • Clube Ben partnership  • Scholarship program*  • School supplies support  • Language learning platforms and training  • Transportation allowance  *Applicable rules apply.