Top Data Science Jobs in Barcelona

The Engineering Leader will lead the Wind Asset Advisory team in EMEA, managing a team of 17 engineers and technicians, ensuring project profitability, collaborating with sales for technical support, and maintaining customer relationships. Responsible for budget and P&L management, the role includes promoting UL expertise through training and representation at industry events.

As a Commercial Analytics Engagement Manager at Veeva Systems, you will lead the deployment of analytics solutions for Life Sciences customers. Your role involves collaborating with data scientists and consultants, translating business needs into effective solutions, and fostering relationships with clients. You will also focus on team development and continuous innovation in the analytics offerings.

Lead a team of data scientists in developing and maintaining robust AI/ML pipelines, focusing on NLP and ML models integration. Translate business requirements into technical solutions and optimize ML model performance. Stay updated on ML, NLP, and IR technology advancements for continuous improvement.

As a Senior Data Scientist at Preply, you will analyze customer support data to drive insights, enhance tutor/learner interactions, and optimize business strategies. Responsibilities include end-to-end data ownership, collaboration with teams to improve customer support functions, and developing analytics frameworks while communicating findings to both technical and non-technical audiences.

The Senior Product Manager will lead market research, analyze product performance, and communicate insights to stakeholders. They will collaborate with development teams to prioritize new features and ensure effective product positioning across 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 Data Science Lead will manage data science projects, enhance and monitor the digital twin model's accuracy, and collaborate with cross-functional teams to translate business needs into analytical solutions. The role involves guiding data strategy, developing performance metrics, and mentoring team members to foster innovation.

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.