Senior Data Scientist at dLocal | Madrid

Why Join dLocal?At dLocal, we empower some of the largest global companies to seamlessly collect payments across 40 emerging market countries. Our trusted solutions enhance conversion rates and facilitate effortless payment expansion into the world's most dynamic markets. As both a payment processor and a merchant of record in our operational regions, we enable our merchants to thrive in rapidly growing economies.By becoming part of our innovative team, you will collaborate with over 1,000 talented individuals from more than 30 nationalities, cultivating an international career that positively impacts millions of lives every day. We are passionate builders who embrace challenges, prioritize customer satisfaction, and foster an environment where you can excel.Role OverviewWe are in search of a driven and impactful Senior Data Scientist who thrives in an autonomous environment. In this pivotal role, you won’t just perform tasks; you will take ownership of the objectives, methodologies, and implications of your projects. Acting as a strategic data partner, you will leverage state-of-the-art AI tools to accelerate our efforts and tackle complex challenges that significantly influence dLocal's success.What projects will you undertake? You will engage in developing solutions for anomaly detection, forecasting, and payment routing, requiring expertise in unsupervised learning, hybrid time series models, clustering, and reinforcement learning, all while emphasizing clarity and explainability.

Role overview dlocal is seeking a Senior AI Engineer to join its Madrid office. The focus of this position is to build and enhance artificial intelligence solutions that strengthen the company's products and services. What you will do Design, implement, and improve AI algorithms for practical use cases Collaborate with cross-functional teams to address technical challenges Support the development and optimization of dlocal's AI systems Requirements Extensive experience in artificial intelligence and machine learning Strong problem-solving skills and a track record of delivering effective solutions Interest in exploring new technologies and working collaboratively Location This role is based in Madrid.

Join Auto1 Group as a Senior Data Scientist and be at the forefront of data-driven decision making. In this pivotal role, you will leverage advanced statistical techniques and machine learning algorithms to analyze vast datasets and provide actionable insights that drive business strategies. Collaborate with cross-functional teams to develop innovative solutions, optimize operations, and enhance customer experiences.

Cabify aims to reshape urban mobility in Madrid, working toward more livable cities and reducing reliance on private vehicles. The Applied Science team supports this mission by using data to improve areas such as route management, pricing, fraud detection, and marketing. Their work is highlighted in several examples: exhibit A, B, and C. Role overview The Senior Data Scientist will join Cabify’s Applied Science group in Madrid. This position partners with data, engineering, product, and business teams to deliver projects that influence the company’s direction. With access to diverse datasets, the team addresses challenges across the business. What you will do Lead and deliver impactful data science projects with cross-functional teams. Design, train, and validate advanced statistical and machine learning models, and support their deployment to production. Plan and analyze experiments using scientific methods to measure new feature impacts. Translate analytical results into business insights that create value for Cabify. Contribute research ideas to expand the team’s technical and scientific strengths. Communicate complex technical concepts to varied stakeholders and help foster a strong data culture. Participate in product development discussions, advocate for new features, and ensure data science is integrated into projects. Serve as a technical reference for the team, supporting professional growth and best practices. Location This position is based in Madrid.

Role overview Nexthink is looking for a Data Scientist based in Madrid. The position centers on working with complex data sets and building predictive models to advance Information Technology projects. What you will do Analyze large and diverse data sets to identify trends and generate actionable insights Create predictive models that guide IT decision-making Contribute to projects focused on enhancing user experiences and streamlining IT operations Impact The analysis and models developed in this role will help Nexthink improve how users interact with technology and support IT teams in their daily work. Insights generated will influence the direction of important projects across the organization.

Experian is hiring a Data Scientist to join the team in Madrid. This position centers on applying data analysis, machine learning, and statistical modeling to support business goals. Role overview As a Data Scientist, you will work closely with colleagues from different departments to create and refine data-driven solutions. The work aims to improve Experian’s products and services through actionable insights and innovation. What you will do Analyze complex data sets to uncover patterns and trends Apply machine learning and statistical modeling techniques Collaborate with cross-functional teams on solution development Location This role is based in Madrid.

Experian is looking for a Senior Data Scientist to join the team in Madrid. This position centers on developing predictive models and shaping data strategies that support business goals. Role overview As a Senior Data Scientist, collaboration with colleagues from different departments will be a regular part of the job. The work involves analyzing data, building models, and providing insights that help guide key decisions across projects. What you will do Create and refine predictive models to support business operations Work closely with cross-functional teams to design and implement data-driven strategies Translate analytical findings into actionable recommendations for ongoing projects Impact The insights and solutions produced in this role will play a direct part in shaping project outcomes and improving decision-making processes at Experian.

Join Cabify as a Data Scientist and contribute to innovative data-driven solutions that enhance our transportation services. You will leverage your expertise in data analysis and machine learning to derive actionable insights from complex datasets, driving strategic decisions and improving customer experiences.

Join our dynamic team as a Senior Data Scientist in the Incubation Lab at NielsenIQ, where you will leverage your expertise in data science to drive innovative solutions and insights. In this role, you will analyze complex datasets, utilize advanced machine learning techniques, and collaborate with cross-functional teams to develop data-driven strategies that enhance our business operations.

OGC Global is a premier research and consulting firm dedicated to leveraging data-driven strategies, quantitative analytics, and optimizing Customer Experience (CX) programs. Collaborating with some of the largest organizations worldwide across sectors such as Financial Services, Specialty Retail, Telecommunications, Hospitality, and Software, we empower our clients with profound insights into their customers, actionable recommendations, and enhanced business operations.We are on the lookout for a motivated and detail-oriented Junior Data Scientist to join our vibrant team. This full-time position presents an exceptional opportunity for a proactive individual eager to engage in research and consulting that empowers our clients to develop deeper insights, identify growth opportunities, and enhance customer satisfaction.This position is fully remote, based in Spain, but requires working hours aligned with the U.S. East Coast.

We are seeking a highly skilled Senior AI Operations Engineer to join our innovative team at dlocal. In this pivotal role, you will leverage your expertise in AI and machine learning to enhance our operational processes, ensuring efficiency and effectiveness across our systems. You will collaborate closely with cross-functional teams to implement AI-driven solutions that will optimize our services and improve our overall performance.

Join Cabify as a Senior Data Scientist in our Marketing Analysis team, where you'll leverage data to drive impactful marketing strategies. You will play a pivotal role in analyzing complex datasets, developing predictive models, and generating actionable insights that enhance our customer engagement and brand presence.Your expertise in statistical analysis and machine learning will be essential in optimizing our marketing campaigns and improving our overall performance. Collaborate with cross-functional teams to translate data findings into strategic recommendations, ensuring Cabify remains a leader in the mobility sector.

Are you ready to take your software engineering career to the next level? Join dLocal as a Senior Software Engineer and become part of an innovative team that empowers global brands to seamlessly collect payments in over 40 emerging markets. In this talent pool, you can express your interest in future opportunities within our IT Team. We are looking for passionate engineers who thrive in a dynamic environment and are eager to tackle challenges head-on. As a valued member of our team, you will contribute to projects that impact millions of lives while collaborating with over 1000 diverse professionals from more than 30 nationalities.

Join Cabify as a Senior Data Scientist specializing in Advanced Analytics, where you'll leverage your expertise to drive data-driven decision-making across our organization. In this pivotal role, you'll collaborate with cross-functional teams to develop predictive models, conduct exploratory data analysis, and implement machine learning algorithms that enhance our service offerings. Your contributions will be essential in shaping the future of transportation solutions in urban areas.

Why Join dLocal?dLocal empowers leading global companies to seamlessly collect payments in 40 emerging market countries. Our platform is trusted by major brands to enhance conversion rates and facilitate effortless payment expansion. As both a payment processor and a merchant of record in our operational regions, we enable our merchants to penetrate some of the world’s fastest-growing markets.By becoming part of our dynamic team, you will join over 1000 dedicated professionals from more than 30 countries, forging an international career that positively impacts millions of lives daily. At dLocal, we are innovators who embrace challenges, prioritize customer-centric solutions, and foster a collaborative environment. If this resonates with you, we are confident you will excel with us.What’s the Opportunity?As a Senior Machine Learning Operations (MLOps) & AI Infrastructure Engineer at dLocal, you will play a pivotal role in developing and managing our ML and AI platform, with a strong emphasis on Feature Store and MLOps processes.Your responsibilities will include implementing and enhancing the tools utilized by our Data Science and AI teams to transition models and AI-driven services from concept to production. This encompasses feature pipelines, training and deployment workflows, observability, and automation.A central aspect of your role will involve leveraging agents and AI services to automate various MLOps functions—from feature store operations to managing fraud and anomaly detection workflows, as well as optimizing ML expenses—while collaborating closely with the AI Team and MLOps Technical Referent.

Hello! We are Fever, the premier technology platform that transforms the landscape of culture and live entertainment.Our goal? To make culture and entertainment accessible to everyone. Through our advanced technology and data-centric strategies, we are reshaping how individuals interact with live experiences. Every month, our platform captivates over 300 million people across more than 40 countries, inviting them to discover remarkable experiences while empowering event organizers with our insights and tools to innovate and expand their reach.Our achievements? We've partnered with renowned industry giants such as Netflix, F.C. Barcelona, and Primavera Sound, created internationally acclaimed experiences, and are supported by top-tier global investors! Impressive, right? To further our mission, we are in search of exceptional individuals with a proactive approach who are excited to shape the future of entertainment! Are you ready to be a part of this journey?Now, let’s delve into the specifics of this role and how you will contribute to Fever’s mission.About the RoleWe are seeking dynamic and inspiring data science leaders who are eager to take charge of significant business areas—such as product optimization, personalization, or marketing—and lead small, collaborative teams to drive impactful results.As a Lead Data Scientist at Fever, you will merge strong technical expertise with the ability to navigate diverse teams and projects. You'll leverage data to address intricate business challenges while fostering the growth and development of your team members.This is a highly cross-functional and visible role where your contributions will directly influence major business and product strategies. You’ll have the opportunity to shape the direction of the Data Science team and bolster our collective culture of learning, innovation, and inclusivity.What You’ll DoFully own strategic data science initiatives, from exploration to deployment.Guide, mentor, and nurture a small team of Data Scientists, aiding their technical and professional development.Design and create models for personalization, forecasting, user behavior analysis, and marketing effectiveness.Collaborate with Product, Engineering, Marketing, and other teams to translate data insights into tangible impacts.Help prioritize projects effectively based on their value and potential outcomes.

inetum2 is seeking a Senior Data Analyst to join our dynamic team in Madrid. In this role, you will leverage your analytical skills to transform data into actionable insights that drive business success. You will work closely with cross-functional teams to identify trends and assist in decision-making processes.

Why Join dLocal?At dLocal, we empower the world’s largest companies to process payments across 40 countries in emerging markets. Our robust payment solutions enable global brands to enhance conversion rates and seamlessly expand their payment capabilities. As both a payment processor and a merchant of record, we facilitate our clients' entry into the fastest-growing emerging markets.By joining our dynamic team, you’ll collaborate with over 1,000 talented individuals from 30+ nationalities, contributing to a career that positively impacts millions of lives daily. We are innovators and problem solvers, committed to delivering exceptional service to our customers. If this resonates with you, we believe you’ll excel in our vibrant environment.What Awaits You?As the MLOps & AI Infrastructure Technical Lead at dLocal, you will serve as the principal technical authority guiding the design, operation, and evolution of our machine learning and AI infrastructure.Your primary goal will be to empower Data Science and AI teams in transitioning models and AI-driven services from conception to production seamlessly, reliably, and in compliance with regulations. You will take ownership of the technical roadmap for our MLOps stack, integrating AI responsibly into our engineering processes while scaling our impact as usage complexity increases.A key component of your role will involve leveraging agents and AI services to automate MLOps tasks—ranging from feature store management and platform operations to fraud detection workflows and ML cost efficiency—collaborating closely with the AI team.This position entails hands-on architectural design and leadership. While you won’t directly manage product models, your influence will be pivotal in shaping how each model and AI element is trained, deployed, monitored, and operated in production.

dLocal connects leading companies with payment solutions across 40 emerging markets. Acting as both a payment processor and merchant of record, dLocal helps merchants expand into high-growth regions while improving conversion rates and simplifying payment operations. The team brings together over 1,000 professionals from more than 30 countries. This international group works on products that impact millions of people worldwide. The company values innovation, embraces challenges, and puts clients first. Role overview The Delivery Solutions Lead will oversee the design and rollout of solutions for major clients. This role manages solution design for new merchants, supports expansion into new markets, and helps introduce new payment methods. Ensuring operational quality and client satisfaction is central to the work. Collaboration is key: the Delivery Solutions Lead bridges cross-functional teams, aligning client expectations with business goals to deliver payment solutions in global markets. What you will do Oversee solution design and implementation for key clients Manage onboarding for new merchants and support market expansion Introduce new payment methods as needed Work with teams across the business to ensure solutions meet client needs and company objectives Maintain operational standards and focus on client satisfaction Requirements Strong leadership skills Experience working in a client-focused environment Comfort working in a fast-moving, international setting

Join Cabify as a Data Scientist specializing in Advanced Analytics, where you will leverage data-driven insights to shape strategic decisions and enhance operational efficiency. As part of our innovative team, you will work with diverse datasets, utilizing advanced analytical techniques to unlock valuable insights that drive business growth.