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 ena…

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.

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 at Cabify as a Senior Data Scientist, where you will leverage advanced analytics and machine learning to drive impactful business decisions. In this role, you will collaborate with cross-functional teams to design data models, analyze complex datasets, and develop innovative solutions that enhance our services and customer experience.

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.

Why Join dLocal? At dLocal, we empower some of the world's largest companies to seamlessly collect payments in 40 emerging markets. Global brands trust us to enhance conversion rates and simplify payment processes, enabling them to tap into the world's fastest-growing economies. Joining our team means becoming part of a diverse global workforce of over 1000 individuals from more than 30 nationalities, where your contributions will have a significant impact on millions of lives every day. We are innovative builders, not just participants in the status quo, and if you share our customer-first mindset, you will undoubtedly flourish in our dynamic environment. About Us & The RoledLocal processes billions in payments across 40 emerging markets, driven by a fast and innovative infrastructure designed to prioritize security without hindering progress. Our security approach is streamlined and automation-focused, fostering a culture where security engineers act as builders rather than gatekeepers. The directive from our CISO is clear: advance the business safely. Your role will be pivotal in developing our defensive infrastructure, overseeing detection platforms and cloud security engineering that support our security teams.You will collaborate across various domains, including Cyber Detection & Response, Cloud Security, Application Security, IAM, and our internal Security Automation & AI team, as well as engineering teams like DevOps and SRE. This cross-functional responsibility is intentional; you won’t just be tuning tools but will actively connect posture signals to response workflows, translating security requirements into engineering tasks and enhancing overall security efficiency.If you thrive on automating manual processes and are excited about tackling complex infrastructure challenges from inception to completion, this role is tailored for you.

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.

Join NielsenIQ as a Senior Data Scientist specializing in Marketing Mix Modeling (MMM). In this pivotal role, you will leverage advanced analytics and data science techniques to drive insights and optimize marketing strategies. Collaborate with cross-functional teams to enhance decision-making processes and deliver impactful results for our clients.

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