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Top Data Science Jobs in Barcelona
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.
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.
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 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.
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.
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.
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.
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.
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.
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.
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.
As a Data Scientist at Cint, you will analyze marketplace dynamics, conduct exploratory data analyses, and define statistical and machine learning methods. You will collaborate with various teams to enhance products and deliver insights through visualizations and presentations.
The Data Scientist will analyze large datasets, design data models, implement advanced analytics, and create data visualizations. They will collaborate across teams to derive insights from customer behavior, helping to shape business strategies and drive decision-making.
Seeking a skilled Senior Data Scientist to design and maintain machine learning pipelines tailored for AI applications, particularly focusing on NLP. Responsibilities include analyzing datasets, developing data enrichment pipelines, integrating ML models, and optimizing model performance. Qualifications require a Bachelor's or Master's degree, 5 years of experience in data science, strong programming skills in Python, and familiarity with NLP frameworks and cloud-based infrastructure.
As a Data Scientist at Mytraffic, you'll work in Predictive Analytics to address business questions using spatial datasets, delivering insights and predictive models to clients. Responsibilities include data processing, analytics, and consulting on data-driven solutions.
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