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Top Data Science Jobs in Spain
Design, build and scale backend systems for Watchdog products, work on large-scale distributed systems, horizontally-scalable datastores, and data-processing frameworks, leverage modern tools to improve performance and cost-efficiency. Opportunity to collaborate with colleagues globally and present at conferences.
The Head of Growth will lead a team focused on driving commercial results using data and technology. Responsibilities include managing the marketing technology stack, overseeing customer lifecycle analytics, optimizing lead conversion rates, developing SEO practices, and collaborating with various departments to implement data solutions.
The Data Scientist role at Zeta Global involves creating ETL and modeling pipelines, developing and deploying ML models, generating reports on marketing campaign ROI, and automating marketing processes using various technologies.
The Data Team Manager at Storyblok will lead data science and engineering efforts, shaping data strategy and managing a team of four. Responsibilities include defining the data analytics strategy, partnering with various teams for actionable insights, and ensuring high-impact projects are delivered on time to support business objectives.
As a Lead Data Scientist, you will drive data-driven decision-making by developing machine learning solutions, analysing data to uncover insights, and collaborating with stakeholders to enhance product features. Responsibilities include leading model development, mentoring junior scientists, and improving model performance in production environments.
This role involves supporting the collection, analysis, and sharing of insights for clients. Responsibilities include integrating datasets, preparing data for analysis, applying data science methods for insights, delivering outcomes on schedule, and communicating findings.
The Lead Data Scientist at Dynatrace will leverage advanced expertise in machine learning to drive data-driven decision-making across products. Responsibilities include designing causal analysis models, developing machine learning solutions, analyzing large datasets, and mentoring junior data scientists while collaborating with cross-functional teams.
The Data Scientist will specialize in AI and Machine Learning to automate business processes across the LAER lifecycle, enhancing customer experience and operational efficiency through model development, data integration, and process optimization.
The role focuses on leveraging advanced statistical modeling and machine learning techniques to drive product and business improvements. Collaboration with multidisciplinary teams to define product strategy, monitor metrics, and translate data-driven insights into actionable strategies are key responsibilities.
The Senior Data Scientist will analyze user behavior and optimize the subscription model through A/B testing and data analytics, collaborating with cross-functional teams to drive product evolution and enhance retention strategies.
As a Senior Data Scientist at Fever, you'll leverage your expertise in statistics and machine learning to enhance data-driven decision-making processes. You will work closely with business and engineering teams to develop analytical solutions and improve user experiences. You will also lead projects, mentor team members, and play a significant role in shaping the data science strategy of the organization.
As a Data Scientist, you will manipulate large data sets and integrate diverse data types to develop analytical solutions. This role involves conducting analytics, developing algorithms, and visualizing findings for management. You will work on predictive models and collaborate with teams to solve moderate complexity tasks in various analytical domains.
The Data Scientist at Kyndryl will implement and maintain Data and MLOps platforms, focusing on Machine Learning and AI solutions for clients. Responsibilities include data exploration, model creation, evaluation, and deployment, ensuring the alignment of business needs with data solutions while adhering to data standards and policies.
The Data Scientist will analyze complex business problems using quantitative methods, delivering machine learning projects, building predictive models, and leveraging data-driven insights for decision-making. Responsibilities include collaboration across departments, project management, and integrating domain knowledge into machine learning solutions.
The Senior Data Scientist will analyze customer support data, evaluate refund policy impacts, measure performance metrics, and develop data-driven recommendations. They will collaborate with various teams to improve the tutor/learner journey and contribute to the development of analytical frameworks, visualizations, and reporting tools.
As a Data Scientist, you will develop impactful data science projects, analyze results from experiments, create machine-learning models, and translate technical knowledge into business insights, collaborating with various teams to enhance product features.
Ebury is seeking a Data Scientist in a hybrid role to drive growth through innovative modeling and data analysis. Responsibilities include developing sales enablement models, collaborating with data engineers, and analyzing sales data. Candidates should be enthusiastic and ready to thrive in a dynamic environment.
As a Senior Data Scientist at Ebury, you will drive innovations in credit risk modeling while leading the development of predictive models using machine learning in a GCP environment. You'll analyze unstructured data with Large Language Models, collaborate on scalable data solutions, and mentor junior scientists.
Join Roche as a Senior Data Scientist specializing in Natural Language Processing and leveraging LLMs and Generative AI tools. Develop and implement data science products, collaborate with stakeholders, and contribute to healthcare innovation. Lead NLP use case identification, model development, stakeholder communication, and talent development. Drive enterprise data science competency and knowledge sharing within the team.
As a Senior Data Scientist, you will build data models, dashboards, and reports to provide insights for mobile subscription developers, driving data-informed decisions and enhancing user experience. You will collaborate with teams to improve data pipelines and develop predictive models, ultimately launching new features to benefit customers.
The Senior Data Scientist at Cabify will lead data science projects, develop machine-learning models, analyze experiments, and provide insights to improve operations across cities. The role requires collaboration with multiple teams to drive impactful business decisions and promote a strong data culture.
As a Data Scientist at Leadtech, you will analyze big data, maintain and enhance data quality, create reports, collaborate with teams to develop predictive models, and support data-informed decision-making.
The Senior Data Scientist will design and implement data modeling processes while exploring data from various sources. Responsibilities include developing algorithms, conducting experiments, and collaborating with teams to align data products with organizational goals.
The Principal Data Scientist will lead advanced analytics and data science initiatives for media measurement. Responsibilities include developing statistical models and machine learning algorithms, collaborating with cross-functional teams, managing projects independently, and mentoring other data scientists. The role demands expertise in quantitative fields and the ability to communicate complex insights effectively.
The Data Scientist R&D Lead will develop globally scalable AI solutions for drug development processes, applying expertise in machine learning and analytics to biomedical projects. Responsibilities include building algorithms, conducting experiments, generating insights from data, and collaborating with cross-functional teams to deliver production-ready models.
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