Data Scientist

Smallpdf

ABOUT SMALLPDF Smallpdf was founded in 2013 with one simple belief: working with documents shouldn't be complicated. What started as an easier way to compress PDFs has grown into one of Europe's largest product-led technology companies. Today, more than 17 million people use Smallpdf every month, our products have been used by over 1.1 billion users across 195 countries, and every day we power millions of document workflows - from PDF conversion and editing to e-signing and AI-powered document tools. Our success came from rethinking an established market. Instead of building complex software for experts, we broke document management down into simple jobs to be done - compress a PDF, merge files, convert documents, collect signatures - and made those experiences intuitive for everyone. That product philosophy continues to shape how we build today. For a Data Scientist, this creates an unusually interesting environment. Every month, millions of users interact with our products across acquisition channels, pricing, subscriptions, experimentation, product adoption, search, and AI-powered experiences. Every feature launch, monetization decision, and product improvement generates signals at a scale that allows us to test ideas, validate hypotheses, and continuously improve the user experience through data. ABOUT THE ROLE This isn't a traditional Data Scientist role. You won't spend your days optimizing machine learning models in notebooks or publishing research. Instead, you'll own analytical products that directly influence how millions of users experience Smallpdf. You'll work across Product, Growth and Engineering to: * design experiments * improve decision making * own production analytical systems * build reliable data products * uncover opportunities hidden in data * translate complex analyses into business impact You'll be joining a small, highly autonomous team where everyone owns outcomes rather than tasks. If you're looking for a role where you can combine engineering, statistics, product thinking and business impact, you'll enjoy this. WHAT YOU'LL DO Own production data products You'll maintain and evolve analytical systems that directly power business decisions, including our marketing automation pipeline and core semantic data models. Design and analyze experiments Work closely with Product and Growth teams to design experiments, define success metrics, analyze outcomes and recommend next steps. Build reliable analytical foundations Develop dbt models, improve data quality, monitor production pipelines and ensure stakeholders trust the data they use every day. Solve ambiguous business problems You'll rarely receive perfectly defined tasks. Instead, you'll partner with stakeholders to understand problems, explore data, identify opportunities and propose solutions before anyone asks. Turn data into decisions Communicate insights clearly to technical and non-technical audiences, helping teams prioritize what matters most. Continuously improve our data platform You'll work with Data Engineers to improve our analytical infrastructure, semantic layer, experimentation framework, as well as future AI evaluation systems. WHAT WE'RE LOOKING FOR You probably have * Several years of experience as a Data Scientist in a modern product company. * Strong Python and SQL skills. * Experience building production data products that drove real business impact - not just notebooks. * Solid understanding of experimentation, statistics and hypothesis testing. * Experience working with modern data warehouses and transformation tools (dbt is a plus, not a requirement). * Experience partnering directly with Product, Growth or Marketing teams. YOU'LL STAND OUT IF YOU * Love understanding products and users. * Naturally investigate anomalies instead of ignoring them. * Enjoy solving messy, ambiguous problems. * Care about shipping useful work rather than perfect work. * Can explain complex technical topics to non-technical stakeholders. * Have owned analytical products from idea through production. * Have experience working in B2C SaaS or product-led growth environments OUR TECH STACK You'll work with technologies such as: * Python * SQL * dbt * Redshift * GrowthBook * AWS * Git * Modern BI and analytics tooling Experience with every tool isn't required - we value strong fundamentals over matching our exact stack. WHY JOIN SMALLPDF? WHERE INNOVATION MEETS IMPACT! Becoming part of our team means more than just taking a job - it’s joining a dynamic, collaborative environment where your voice matters, your growth is championed, and your work truly makes a difference. Here, we don’t just talk about a growth mindset - we live it. You’ll thrive in a culture that balances professional ambition with personal well-being, where flexibility, creativity, and purpose come together. Whether you're shaping the future through groundbreaking projects or leveling up your skills, your journey here will be one of impact, innovation, and continuous learning. This reflects in our company values. OUR BENEFITS 🌍 You get to impact the way over 60 million people get work done every month. 🚀 Push boundaries and dare to fail - that’s how we learn! 💻 Enjoy the flexibility of a remote work environment, and meet your team occasionally to work together and strengthen the team bond. 🏝️ 30 vacation days - yep, you read that right - that you can take whenever you need them. 🧳 Need a long break? We offer sabbatical leave to employees who’ve been with us for over 2 years. 👶 16 weeks parental leave - 100% of your salary - for all new parents 📚 A personal development budget of up to 2000CHF every year, plus days off for courses or training. 🤓 Internal knowledge sharing and external coaching options during your working hours to boost both your hard and soft skills. 👩‍💻 Hack days to challenge you and your team, plus build amazing things. HOW TO APPLY Please apply using the form below and upload your CV - in English, as it’s the standard working language at Smallpdf. A PDF format is preferred. COMPENSATION PHILOSOPHY At Smallpdf, we believe compensation should be fair, transparent and thoughtfully aligned with the value each person brings to our team. Our approach balances several key factors - current market trends, role expectations, seniority, experience, and geographic location - to ensure every offer is both competitive and equitable. We review our salary ranges regularly to stay in step with the evolving market, and we make decisions based on skills, impact, and responsibility rather than negotiation strength. Our goal is simple: to recognize and reward great work, support long-term growth and create a compensation structure that feels fair, consistent and grounded in integrity. We want everyone at Smallpdf to feel valued, supported and empowered to do their best work - and our compensation philosophy is designed to reflect exactly that. HIRING POLICY Smallpdf is an equal-opportunity employer, and we believe our strength comes from a team that reflects a wide range of backgrounds, identities, perspectives, and lived experiences. We welcome applicants of all genders, ethnicities, ages, abilities, orientations, and life paths. You’ll also have the option to share your pronouns and answer an anonymous demographic questionnaire when you apply. This information is completely voluntary, but it helps us stay accountable in building an inclusive and equitable hiring process. We use AI thoughtfully in our day-to-day work, but we value human curiosity, creativity, and integrity above all. We’re excited to meet candidates who bring genuine expertise, real stories, and authentic experience to the table.

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 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 and the companies that service them, unlocking new growth opportunities for all. With offices in São Paulo and Campinas, we encourage our team to participate in major events and significant meetings throughout the year. The Team: BEES is the team driving AI strategy at BEES by building end-to-end products to serve our teams, customers, and partners across the globe. The organization is a cross-functional blend of AI/ML teams from Applied Research and Machine Learning Engineering to Machine Learning Platform Product Management. Together, the team is responsible for building the tools and products needed to deliver world-class AI/ML capabilities.  As a member of the BEES Fintech Data Science team, you will develop data-driven solutions for credit risk, underwriting, portfolio optimization, pricing, and decisioning systems that operate at scale and directly impact real-time credit decisions. What you'll do: * Be part of a high-impact fintech data science team building ABIs credit models, credit decisioning systems, and ML-powered infrastructure that drive billions of dollars in credit transactions annually for millions of users worldwide. * Design, develop, and deploy statistical and machine learning models across the full lifecycle — from research and experimentation to production — with a focus on credit risk, underwriting, portfolio optimization, and experimentation. * Write a substantial amount of production-grade code while conducting deep analytical and statistical research, translating theory into practical improvements in live credit systems. * Lead and contribute to experimentation and model evaluation (offline analysis, simulations, and online tests), ensuring models are robust, explainable, and aligned with regulatory, risk, and business constraints. * Work with industry-leading technologies and modern ML platforms, building scalable modeling and data workflows that operate reliably at global scale. * Collaborate closely with exceptional engineers, product managers, analysts, and business stakeholders. * Continuously explore and adopt state-of-the-art methods in statistics, machine learning, and optimization, raising the technical bar and shaping best practices across the fintech data science organization. What you'll need: * Strong foundation in mathematics and statistics. * Bachelor’s degree in Mathematics, Statistics, Engineering, Computer Science, or a related quantitative field; Master’s preferred; PhD a plus. * Experience or strong familiarity with experimentation frameworks, model validation, and rigorous evaluation, ideally in high-stakes decision systems. * Proven ability to apply machine learning and statistical models in production, balancing accuracy, stability, explainability, and real-world constraints. * Proficiency in Python for analysis, modeling, and production workflows; experience with distributed data processing (e.g., Spark / PySpark) is a plus. * Experience with modern ML development practices, including version control, CI/CD, and reproducible research and modeling workflows. * Strong proficiency using AI coding agents and developer tools in a controlled, thoughtful, and production-oriented way to accelerate development without compromising quality. * Creative, curious, and independent thinker who challenges assumptions, proposes novel approaches, and reasons deeply about complex systems. * Excellent communication skills, able to clearly explain complex models and results 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 * Medicines discounts * WellHub partnership * Childcare subsidies * Discounts on Ambev products* * Clube Ben partnership * Scholarship* * School materials assurance * Language and training platforms * Transport allowance *Rules applied Equal Opportunity & Affirmative Action: AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics. The following fields are optional, but anticipate the information for your registration*. Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company.  For more information: www.abinbev.com

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 logistics, operations, and customer-facing products. We build end-to-end intelligent systems that optimize how goods move through our network, improving reliability, efficiency, and the overall customer experience at global scale. As a member of the BEES Logistics Data Science team, you will develop data-driven solutions that power delivery planning, operational efficiency, and customer promise accuracy across multiple markets. What you'll do:  * Be part of a high-impact data science team building intelligent logistics systems that optimize delivery operations 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 planning, forecasting, and operational decision-making. * Apply advanced techniques such as statistical modeling, optimization, geospatial analytics, and forecasting to improve efficiency, reliability, and cost of delivery operations. * Translate complex real-world logistics constraints into scalable mathematical models and data-driven systems. * Contribute to experimentation and performance evaluation through offline analysis and online testing, ensuring solutions are robust, scalable, and aligned with operational goals. * 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 deliver impactful solutions. * Drive continuous improvement by exploring new methodologies in machine learning, optimization, and applied statistics, raising the technical bar across the organization. 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, optimization, or advanced analytics to real-world problems in production environments. * Experience with complex systems involving uncertainty, constraints, and large-scale 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: optimization, forecasting, geospatial analytics, or large-scale operational systems. * 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, break down complex problems, and deliver practical, high-impact solutions. * Excellent communication skills, with the ability to explain technical concepts 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 * Medicines discounts * WellHub partnership * Childcare subsidies * Discounts on Ambev products* * Clube Ben partnership * Scholarship* * School materials assurance * Language and training platforms * Transport allowance *Rules applied Equal Opportunity & Affirmative Action: AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics. The following fields are optional, but anticipate the information for your registration*. Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company.  For more information: www.abinbev.com