Data Science Manager

Join Cabify as a Data Science Manager, where you will lead a talented team in delivering innovative data-driven solutions. In this role, you will oversee the development and implementation of advanced analytics models, driving strategic decisions across the organization. Your expertise will help us harness the power of data to enhance our services and improv…

Role overview FeverUp is looking for a Head of Data Science to guide its data science team in Madrid. This leader will shape analytical strategies and ensure the team delivers practical solutions that support business goals. What you will do Manage and mentor the data science team Work with teams across the company to improve how data informs decisions Oversee projects that apply machine learning, statistical modeling, and data visualization Focus on using data insights to support business results

Join Cabify as a Data Science Manager specializing in Advanced and Product Analytics, where you will lead a talented team to drive data-driven insights that enhance our products and services. Your expertise will guide our analytics strategy, enabling us to deliver exceptional value to our customers. With your leadership, you will empower your team to develop innovative solutions and improve our decision-making processes.

Join thebridge3 as a Part-Time Lead Instructor in Data Science and inspire the next generation of data scientists! In this role, you'll leverage your expertise to guide students through the complexities of data analysis, machine learning, and data visualization. Your ability to convey advanced concepts in a clear and engaging manner will empower learners and enhance their skills in a practical setting.

Join Celonis, the premier global leader in Process Intelligence technology and one of the fastest-growing SaaS companies worldwide. At Celonis, we see a tremendous opportunity to enhance productivity by embedding AI, data, and intelligence at the heart of business processes. We invite you to be part of our mission!The Team:Celonis Services is a dynamic strategic services organization dedicated to the technical journey of our customers while delivering tangible business value throughout our engagements. Our team includes Consulting Services, Academy, and Customer Support, and we pride ourselves on our thought leadership, deep product knowledge, technical expertise, and domain insights. We aim to deliver outstanding Celonis implementations, maximize business value, and facilitate product adoption for our clients through the integration of industry best practices, exceptional delivery experience, and award-winning support.The Role:As a Lead Consultant, you will play a pivotal role in accelerating our customers’ digital transformation and propelling Celonis’ international growth. You will assess customers' strategic needs, develop data-driven process insights using SQL, and create intricate data models to ensure clients derive maximum value. You will gain expertise across a variety of company functions, including Finance, Order Management, Procurement, Warehouse Management, Customer Service, Production, e-Commerce, Opportunity Management, and Supply Chain Management. You will leverage cutting-edge features of the Celonis platform, such as Process Analytics, Process Automation, Artificial Intelligence (AI), and Machine Learning (ML).Your Responsibilities:Initiate:Lead Celonis implementation projects to ensure optimal solutions addressing customer pain points.Design innovative analyses and operational applications, enhancing them with Machine Learning or Artificial Intelligence to illuminate customer processes.Utilize Celonis technology to pinpoint process inefficiencies and uncover root causes in close collaboration with clients.Implement:Facilitate value workshops to create business cases and align strategies to rectify process inefficiencies.Quantify business and financial potential, presenting findings to stakeholders.

Shift Technology is revolutionizing the insurance sector with its cutting-edge AI platform. By integrating generative, agentic, and predictive AI, we are transforming underwriting, claims processing, and fraud detection, leading to significant operational efficiency and outstanding customer experiences. Our solutions are trusted by top insurers across the globe, delivering AI capabilities when and where they are most needed to achieve measurable business outcomes.At Shift, we foster a culture of innovation and trust, driven by our mission to reshape the insurance industry through our SaaS offerings. Our team comprises individuals from over 50 countries and cultures, collaboratively working to build the future of insurance. The Data Science Team:Our Data Science team tackles a variety of challenges and plays a key role in defining and developing our product suite, specializing in fraud detection, anti-money laundering, and claim automation. We leverage extensive technical and professional knowledge in data science, data engineering, coding, and client interaction, while also working with diverse data types including structured data, unstructured text, documents, and images.Your Key Responsibilities‍:Establishing and deploying data processing pipelines, encompassing data reception (both batch and real-time), data cleaning, information extraction, and calibration of fraud detection models.Collaborating with clients to comprehend their requirements and integrating their feedback to enhance our solutions.Conducting research and development to foster product innovation in areas such as machine learning, natural language processing, image analysis, trend analysis, and chatbots.Assisting the sales team by engaging in product demonstrations for prospects.Participating in the complete Data Science product lifecycle: Understanding the interconnections between sales, legal, product, and engineering to deliver AI solutions to clients.

Join our dynamic team at inetum2 as a Data Analyst, where you will leverage your analytical skills to extract valuable insights from data. Your ability to interpret complex datasets will play a crucial role in driving our business strategies and decision-making processes. We seek an individual who is passionate about data and eager to contribute to innovative projects that enhance our operational efficiency.

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.

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.

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.

We are seeking an experienced Project Manager to lead and oversee construction projects in the pharmaceutical and life sciences sectors. The ideal candidate will possess a deep understanding of project management principles, particularly in environments that require strict compliance with regulatory standards and timelines.Your responsibilities will include planning, executing, and closing projects, managing budgets, and ensuring adherence to quality and safety standards. You will collaborate with various stakeholders including clients, contractors, and regulatory bodies to deliver successful outcomes.

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.

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.

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.

Role overview MSX International seeks a Data Analyst based in Madrid. The position focuses on transforming raw data into practical insights that guide business choices and help refine company operations. Strong analytical skills and careful attention to detail will influence strategies throughout the organization. What you will do Examine data sets to spot trends and patterns Convert findings into recommendations for improving operations Provide actionable data insights to support strategic decisions Work environment The Madrid office values fresh ideas and maintains high standards. Teamwork and innovation are part of daily work at MSX International.

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.

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.

Role overview Goodman seeks a Data Centre Site Manager to take responsibility for the daily operations of its Madrid facility. The role centers on ensuring the data centre delivers consistent, reliable service and operates efficiently. Managing a dedicated team, the Site Manager plays a key part in upholding performance standards across the site. What you will do Oversee all aspects of day-to-day data centre operations Lead, guide, and support a team of professionals Uphold high standards for service reliability and operational efficiency Requirements Proven experience managing data centre operations Strong leadership and team management abilities Demonstrated commitment to operational excellence

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.

Join our dynamic Regional team as a highly motivated and skilled Regional Data Strategy Manager. In this pivotal role, you will be instrumental in defining and executing our Data Strategy, directly reporting to the Regional Data Strategy team.Key Responsibilities:Strategic DevelopmentCraft a comprehensive Data Strategy that aligns with the overarching Regional Data Strategy.Provide critical support for data-related mergers and acquisitions (M&As).Identify and leverage pivotal data levers for organizational growth.Engage with partners to foster data and open innovation initiatives.Manage long-term projects aimed at improving risk evaluation processes for companies.Innovative Data ManagementDevelop strategies for sourcing data through make/buy/multi-source/dual approaches.Evaluate alternative data acquisition scenarios including costs and drivers.Collaborate with IT and Operations to manage business requirements for data-related projects.Create a long-term data evolution roadmap tailored to the country’s needs.Establish a comprehensive data quality roadmap and define key performance indicators (KPIs).Data Production OversightMonitor metrics and control data production processes within data factories.Oversee the various data production workflows and workloads.Ensure performance, quality, and delivery metrics are met consistently.Data Ecosystem ExpansionAnalyze and identify new potential data sources in both alternative and traditional markets.Conduct competitive analyses to inform data strategies.Define specific data roadmaps based on the unique needs of each country.Assess and maintain data quality standards.Conduct significance testing and predictivity assessments for new data sources.Relationship ManagementCoordinate with local Enhanced Information Centers (EIC) to manage relationships with Information Providers (IPs) and negotiate contracts.Serve as an internal consultant on data-oriented topics.Business Development and Data ConsultancySupport the exploration of new data use cases, including ESG considerations and sales keywords.Assist with data-related tenders and bids.Address level 2 data quality issues as they arise.Provide direct support for sales accounts through training and customer engagements.Assist the sales operations team in managing data quality and coverage on the ICON/URBA platform.Oversee initiatives for data delivery to clients.