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 improve customer experiences.

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 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.

We are seeking a dynamic and results-driven Project Manager to join our Data Science Integrations Teams in a fully remote capacity. In this role, you will lead cross-functional teams to drive data science projects from inception to completion. You will coordinate with various stakeholders, ensuring that project objectives align with business goals while maintaining timelines and budgets.Your ability to manage multiple projects simultaneously and communicate effectively will be crucial to the success of our data initiatives. If you are passionate about leveraging data science to create impactful solutions, we would love to hear from you!

Veeva Systems is a pioneering organization dedicated to transforming the life sciences sector through industry cloud solutions, enabling companies to expedite the delivery of therapies to patients. As one of the fastest-growing SaaS companies, we achieved over $2 billion in revenue in our last fiscal year, with promising growth opportunities on the horizon.Our core values drive us: Do the Right Thing, Customer Success, Employee Success, and Speed. In 2021, we proudly became a public benefit corporation (PBC), committed to balancing the interests of our customers, employees, society, and investors.As a Work Anywhere company, we empower you to choose your work environment—whether from home or in the office—to thrive and excel.Join us in revolutionizing the life sciences industry, where we are dedicated to making a positive impact on our clients, employees, and communities.The RoleAt Veeva Link, we are constructing the intelligence layer for life sciences, developing interconnected data applications to accelerate drug development and drastically enhance patient outcomes. Our guiding principle is that the fusion of top-quality data and cutting-edge software creates tremendous value.Execution is paramount; we believe that progress is driven by speed, precision, and the quality of our daily builds. Our engineering philosophy focuses on clear product definitions and detailed technical designs, utilizing a modern tech stack to deliver reliable applications and superior user experiences.Our work encompasses two pivotal domains:Data-Driven InsightsWe create advanced applications that map and comprehend global scientific and medical expertise, yielding high-impact insights and AI-generated intelligence. Our engineers tackle intricate data modeling, entity resolution, and sophisticated machine learning challenges.Intelligent Business WorkflowsWe design and implement intelligent workflows that optimize business outcomes, ensuring that our clients achieve their strategic objectives.

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 thebridge3 as a Lead Instructor in Data Science for our part-time program in Sevilla! We are seeking a dynamic and knowledgeable professional to guide and inspire students in their journey to becoming data science experts.Your role will involve developing course content, delivering engaging lectures, and mentoring students through practical projects. If you have expertise in data science and a passion for teaching, we want to hear from you!

Join our dynamic team as a Lead Data Science Instructor in Sevilla! In this exciting role, you will be responsible for shaping the future of aspiring data scientists. You will lead courses that cover essential data science concepts and methodologies, providing hands-on guidance and mentorship to students.As a pivotal member of our educational team, you will collaborate with fellow instructors to enhance the curriculum and ensure an engaging learning experience. Your expertise will inspire the next generation of data professionals.

Role overview The Senior Specialist in Data Science & AI for Digital & IT at Jobs for Humanity will be based at Barcelona Gran Vía. This role focuses on applying data science and artificial intelligence to enhance digital and IT solutions that benefit the community. Key responsibilities Use data science and AI knowledge to drive projects that make a tangible difference for the community Collaborate with colleagues across various teams to design and develop new digital and IT solutions Contribute to the improvement of tools and processes, supporting better operations and customer service Collaboration This position requires frequent work with cross-functional teams. The goal is to deliver solutions that increase both operational efficiency and the quality of customer experience.

We invite you to submit your CV in English, detailing your proficiency level in the English language.Mindrift serves as a bridge connecting specialized talents with project-based AI opportunities in leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. Please note that this role is project-based, not a permanent position.Key Responsibilities:Develop innovative computational data science challenges that mirror real-world analytical processes across various sectors, such as telecommunications, finance, government, e-commerce, and healthcare.Design tasks that necessitate Python programming for solutions, utilizing libraries such as Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn.Ensure challenges are computationally demanding, requiring solutions that cannot be achieved manually within a reasonable time frame (days or weeks).Create problems that involve intricate reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and extraction of insights.Formulate deterministic problems that yield reproducible results, minimizing stochastic elements and, when necessary, utilizing fixed random seeds for consistency.Base challenges on authentic business issues, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational effectiveness.Design comprehensive problems that cover the entire data science pipeline, from data ingestion and cleaning to exploratory data analysis, modeling, validation, and deployment considerations.Integrate big data processing scenarios that require scalable computational strategies.Validate solutions using Python with standard data science libraries and statistical techniques.Clearly document problem statements within realistic business contexts, providing verified correct answers.

Join Veeva Systems, a trailblazer in the industry cloud space dedicated to accelerating the delivery of life-saving therapies to patients. As one of the most rapidly expanding SaaS companies, we achieved over $2 billion in revenue last fiscal year and continue to explore vast growth opportunities.At Veeva, our core values guide us: we prioritize doing the right thing, ensuring customer success, fostering employee success, and maintaining speed in our operations. In 2021, we proudly became a public benefit corporation (PBC), committed to balancing the interests of all stakeholders.We embrace a Work Anywhere philosophy, offering flexibility to work from home or in the office, allowing you to thrive in your preferred setting.Contribute to our mission in transforming the life sciences industry, as we strive to positively impact our customers, employees, and communities.The RoleAs a Field Marketing Manager at Veeva, you will collaborate with a talented team in a dynamic environment. You will drive initiatives in demand generation, event management, digital marketing, sales enablement, and communication strategies. If you are driven by results, resourceful, and committed to excellence, this role may be the ideal fit for you.

Join Docplanner as a Senior Marketing Data Analyst, where you will utilize your expertise in data analysis to drive actionable insights and enhance marketing strategies. Collaborate with cross-functional teams to analyze customer data, campaign performance, and market trends. Your role will be pivotal in helping us optimize our marketing efforts and improve customer experience.

Please submit your CV in English and include your English proficiency level. Mindrift connects experienced professionals with project-based AI assignments for major technology companies. The work centers on evaluating, testing, and improving AI systems. This is a freelance, project-based position rather than a permanent role. Role overview This freelance Data Science Engineer position focuses on designing and validating computational challenges that reflect real-world analytical workflows. The projects span sectors such as telecom, finance, government, e-commerce, and healthcare, and require advanced Python and SQL skills. All work is remote, with a location focus on València, Valencian Community, Spain. What you will do Design data science problems that simulate business analytics tasks in various industries. Develop challenges that require Python programming, using libraries like Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, and Seaborn. Ensure tasks are computationally intensive and cannot be solved manually in a reasonable timeframe. Create complex problems involving advanced data processing, statistical analysis, feature engineering, predictive modeling, and extracting insights. Formulate deterministic, reproducible problems by avoiding randomness or using fixed random seeds. Base scenarios on real business needs such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Address the full data science pipeline, including data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Incorporate big data processing situations that require scalable approaches. Validate solutions in Python using standard data science libraries and statistical techniques. Thoroughly document each problem, providing realistic business context and verified answers. Requirements Minimum 5 years of hands-on data science experience with demonstrable business impact. A portfolio of projects or publications showing real-world problem-solving. Advanced Python skills for data science, including experience with pandas, numpy, scipy, scikit-learn, and statsmodels. Strong background in statistical analysis and machine learning, with deep understanding of algorithms and their uses. Proficiency in SQL and database operations for data analysis. Familiarity with GenAI tools and concepts (such as LLMs, RAG, prompt engineering, and vector databases). Understanding of MLOps and model deployment workflows. Knowledge of frameworks like TensorFlow, PyTorch, and LangChain. Excellent written English skills (C1+ level). Application process Apply Pass qualification(s) Join a project Complete tasks Receive payment Location: Remote , València, Valencian Community, Spain

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.

Labelium seeks a VIE Data Marketing Consultant / Experienced Data Analyst for its Madrid office. This role centers on applying analytical expertise to inform and improve marketing strategies across a diverse client base. Key responsibilities Analyze market trends and campaign outcomes to identify patterns and new opportunities Use data insights to optimize ongoing marketing campaigns Present clear, practical recommendations that enhance client results Work closely with team members to shape and refine marketing approaches Role focus This position emphasizes data-driven decision-making and collaboration. Success in this role means translating complex data into actionable steps that support client growth and marketing effectiveness.

Veeva Systems is a pioneering organization dedicated to transforming the life sciences industry through innovative cloud solutions. As one of the most rapidly growing SaaS companies globally, we achieved over $2B in revenue in the past fiscal year, with immense growth opportunities on the horizon.Our core values – Do the Right Thing, Customer Success, Employee Success, and Speed – guide our mission. In 2021, we made history by becoming a public benefit corporation (PBC), which commits us to a balanced approach to serving our customers, employees, society, and investors.As a Work Anywhere company, we champion your flexibility to work from home or in the office, fostering an environment where you can thrive.Join us in revolutionizing the life sciences sector by making a positive impact on our customers, employees, and communities.The RoleWe are seeking talented professionals in product marketing to promote our highly scalable, true multitenant cloud solutions that are transforming the life sciences landscape. Our focus is on ensuring customer satisfaction, employee success, and sustainable growth.The Product Marketing Associate Manager/Manager will play a pivotal role within our expanding marketing team, contributing to demand generation, field enablement, and customer marketing initiatives. This role involves collaboration with global Marketing, Product Strategy, Product Management, Sales, and Professional Services teams to drive Veeva’s growth and enhance our customers’ success.

At Abi, we are redefining healthcare access through our innovative global virtual care platform, delivering on-demand, omni-channel services to patients across 40 countries. Our mission is to simplify professional healthcare, making it as accessible as a conversation with a friend.By significantly lowering barriers to professional healthcare access, we support the United Nations Sustainable Development Goal 3, aiming to ensure healthy lives and promote well-being for everyone.Join our AI Lab, where we are committed to attracting and hiring exceptional Data Science and Machine Learning (ML) professionals. If you are considered for a role in our AI Lab, your contributions will be pivotal in enhancing AI/ML solutions and infrastructure that underpin our products and services, driving continuous innovation within our organization.ResponsibilitiesYou will play a crucial role in developing and advancing the AI-driven features of our services, ensuring the robustness and scalability of our models in a rapidly evolving global landscape.Your expertise will also be vital in mentoring junior colleagues within the AI Lab, fostering a collaborative and effective work environment.Key activities (subject to project progression)Analyze and refine data science prototypesDesign, train, and refine machine learning modelsInvestigate and apply suitable ML algorithms and toolsEnhance existing ML libraries and frameworksSelect suitable datasets and data representation techniquesConduct machine learning tests and experiments

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.