Top Data Science Jobs in Barcelona

Lead multi-stream client programs as the primary contact, ensuring outstanding delivery and strategic alignment with business goals. Manage Engagement Managers, drive account growth, and build strong relationships with senior stakeholders.

The Digital Analyst supports data collection and analysis, integrating datasets, applying data science methods, and delivering insights and recommendations to clients.

Provide support for collecting and analyzing data to deliver insights and recommendations to clients, while maintaining knowledge of data science trends.

The Expert Engagement Manager will lead client collaborations, ensure delivery of AI solutions, manage client relationships, and drive value creation.

Lead the development of reporting and analytics capabilities, improve product features, and drive cross-functional collaboration to enhance customer satisfaction and revenue growth.

As a Senior Data Scientist at Chaos Labs, you'll enhance modeling capabilities and deliver insights for decentralized finance, collaborating with engineering and product teams.

The Lead Golang Software Engineer develops server solutions, leads technical designs and code reviews, mentors colleagues, and ensures the quality of engineering practices in the Commercial Systems unit.

Lead Stuart's data function by operationalizing data strategy, enhancing data culture, managing a multi-disciplinary team, and driving business impact through data insights.

Lead a team of Data Scientists/ML Engineers to develop ML capabilities, architect scalable ML solutions, and implement best practices in a cloud-based environment.

The Analytics Manager will lead a team in defining strategy and goals for analytics, drive data initiatives, and foster a data-driven culture across the organization. Responsibilities include enabling impact measurement, collaborating with engineers on methodologies, and promoting analytics literacy throughout Preply.

Lead data function, mentor team, define strategy, drive experimentation, ensure data-driven culture, and bridge insights to business actions.

The Principal Scientist in Data Science will lead development of machine learning models utilizing real-world data, collaborate cross-functionally, and mentor junior team members.

Lead the design and implementation of machine learning-based analytics solutions for cybersecurity operations, ensuring scalable data pipelines and CI/CD workflows.

The role involves developing machine learning algorithms for financial applications, collaborating with experts, building data pipelines, and communicating insights. Requires deployment of end-to-end data science solutions, especially in pricing optimization and forecasting within Azure cloud infrastructure.

The role involves collaborating on machine learning algorithms for pricing optimization, building data pipelines, and communicating insights. Experience with financial data science is essential.

Lead a team of Data Scientists to apply advanced analytics and machine learning to real-world business scenarios, enhancing service offerings and driving insights for TD SYNNEX's growth.

As a Data Science Intern, you'll identify frameworks for data-driven business challenges, transform datasets, run analyses, build machine learning models, and communicate results.

Develop and improve machine learning and statistical models for sports betting products, collaborating with teams to enhance performance and deploy models.

As a Senior Data Scientist, you'll enhance marketplace dynamics through data analysis and machine learning, developing models for search and recommendations while collaborating cross-functionally.

As a Senior Data Scientist, you will optimize event pricing at Fever, collaborating with business and engineering teams using data-driven solutions and statistical analyses to maximize value.

The Senior Data Scientist will optimize marketing through data-driven solutions, managing models for attribution and campaign efficiency, while collaborating across teams.

Fever seeks a Senior Data Scientist to enhance decision-making through data. The role involves project life-cycle management from ideation to production, requiring collaboration across business and engineering teams.

Data Scientists at QuantCo will analyze data, build machine learning models, and communicate results to stakeholders, aiming for impactful solutions.