Top Machine Learning Jobs in Barcelona

The Senior Data Scientist role involves developing machine learning and AI models, particularly in the Life Sciences and Healthcare field. Responsibilities include researching and implementing algorithms, validating approaches, and recommending data sources to enhance user experience. Collaboration with cross-functional teams is essential to deliver impactful solutions.

As a Data Analyst at Hempel, you will maintain and improve BI tools, develop new Power BI dashboards, analyze data related to coating performance, conduct statistical analyses, and train colleagues on BI tools to support sustainable solutions for marine clients.

The Data Analyst will measure advertising performance through KPI establishment, design new KPIs, build data pipelines for dashboards, and deliver insights. They will utilize first-party data for audience monetization and perform sales analysis, enhancing local teams' data experiences while applying various analytical techniques and methodologies.

As a Senior Solutions Consultant at Feedzai, you will facilitate the sale of the RiskOps platform to financial institutions, engaging in technical discussions, customizing solutions, managing formal tenders, and collaborating with various stakeholders to meet client needs while ensuring effective communication and organizational skills.

The Senior Data Scientist will develop and deliver advanced analytics and ML solutions, optimize data pipelines, monitor ML infrastructure, and collaborate with data and ML engineers in a CI/CD environment, focusing on deploying AI-driven innovations.

The Senior ML Data Engineer will develop, deploy, and maintain scalable machine learning models, collaborate on data pipelines, ensure production-readiness, and troubleshoot issues related to performance. The role requires close work with cross-functional teams to integrate models into systems.

The Engineering Manager will lead the Data Platform and Data Science teams, overseeing the technical strategy and product evolution while mentoring data engineers and scientists. They'll focus on delivering high-quality data solutions, enhancing data governance, and fostering a collaborative team environment to drive innovation.

The IT Data Architect will design centralised architecture solutions for data and AI, ensuring scalability and alignment with business goals. Responsibilities include creating data architecture solutions, optimizing performance, collaborating with stakeholders, and providing technical leadership. The role requires a minimum of 7 years in data architecture with expertise in SQL, Oracle, and programming languages such as Python and Java.

The AI Technology Consultant will leverage technical skills in AI and data to support business development, manage AI projects, and develop solutions tailored to client needs using Agile methodologies. Interaction with stakeholders across various healthcare areas to gather requirements and deliver impactful technology solutions is key to this role.

The Senior Solution Architect will lead WMS implementation projects, define business process workflows, guide customers through changes, and work collaboratively with project managers and team members. They will mentor internal teams and operate within a dynamic environment, ensuring standards from sectors like Retail and Manufacturing are met.

The intern will design and maintain Python code for command line tools, apply machine learning algorithms to solve complex problems, analyze data for feature selection, and collaborate with teams to develop and ship new features.

The Supply Chain Project Manager at IFF will oversee digital project implementations across multiple sites, leading a multifunctional team of data engineers, scientists, and designers. This role involves managing project portfolios, driving a digital mindset, and improving business processes within manufacturing and supply chains.

As a Data Scientist on the Payments Operations team, you will analyze and optimize the payments ecosystem, collaborating with cross-functional teams to improve transaction performance, run A/B tests, and provide insights that enhance user satisfaction and reduce costs.

The Data Science Manager will lead and develop a team of data scientists, manage data science initiatives, apply advanced data science techniques, and collaborate with stakeholders to drive business growth and improve operational efficiency at Wallapop.

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 Data Science Product Analyst, you will leverage advanced statistical modeling and machine learning techniques to drive product and business decisions. Collaborating with multi-disciplinary teams, you'll own analytics tasks from opportunity sizing to experimentation and impact analysis, fostering relationships with stakeholders.

The Data Scientist will develop, test, and implement predictive models to enhance customer retention and engagement. Responsibilities include churn prediction, customer segmentation, and designing experiments that provide insights to product and marketing teams. Collaboration with cross-functional teams is essential to drive lifecycle initiatives.