Top Data Science Jobs in Portugal

As a Software Engineer at Cloudflare, you will build and operate software to enhance Internet performance and security, focusing on distributed systems.

Lead a pre-sales engineering team, develop proposals for military and defense markets, and manage customer relationships to exceed sales targets.

As a Data Scientist in the Group Data Science team, you will develop data science solutions, focusing on analytics, ML, and AI to support decision making and automate tasks.

As Senior Platform Product Manager, lead the Pricing Platform team to enhance pricing strategies, navigate technical complexities, and drive measurable growth aligned with Zego's goals.

Lead strategic product roadmaps, conduct market intelligence, manage pricing strategy, apply data analysis, and mentor teams while collaborating with cross-functional partners.

Lead business intelligence projects, gather client requirements, implement data solutions, document processes, and support program execution.

The Data & AI Specialist role involves leveraging data and AI to enhance commercial execution, support decision-making, and improve customer outcomes, focusing on actionable insights and collaboration across functions.

Support Airbus' Risk and Compliance Systems Department by managing audits, internal controls, and compliance systems, while collaborating with stakeholders.

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 the development of Data Science solutions, leveraging conventional data science and generative AI to support decision making and improve operational efficiency.

Apply Data Science and automation to enhance logistics performance through data extraction, modeling, and dashboards to support continuous improvement initiatives.

The IT Trainee Program offers recent graduates the opportunity to learn in various IT areas, including software development, DevOps, cybersecurity, and data analytics while working full-time in a supportive environment.

Lead the development and implementation of a financial crime prevention product, shaping the product strategy and roadmap in a high-growth environment.

As an AI Product Manager, you will lead the development of AI-powered features, collaborating with cross-functional teams to align products with user needs and business goals, while overseeing the product lifecycle.

The Senior Producer will lead Game Integrity initiatives for MONOPOLY GO!, focusing on fairness, stability, and efficiency in game systems, partnering with various teams to ensure effective project delivery.

Lead data science initiatives to develop AI-driven solutions for healthcare. Collaborate across teams to transform data into actionable insights and manage resources effectively.

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.

As a Curriculum Manager, you will manage the content development lifecycle, collaborate with instructors, and improve data science curriculum, ensuring technical accuracy and pedagogical effectiveness.

Manage and mentor a team of Data Scientists, oversee machine learning models, and shape technical solutions within the Payment Intelligence team.

The Curriculum Manager will oversee the content development lifecycle, recruit instructors, design curriculum, assess course performance, and improve data science and engineering content.

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

The Senior Data Science Engineer will develop and deploy machine learning solutions focused on demand forecasting and optimization for a fleet management platform, ensuring reliability and impact, while working with various stakeholders.

As a Curriculum Manager, you will manage content development for the data science and engineering curriculum, collaborating with instructors and teams to enhance learning experiences.

Manage curriculum development for data science and engineering, collaborate with instructors, create content, and drive improvements based on learner feedback.

Analyze large datasets to identify insights, design experiments, develop ML models, and collaborate with various data teams for business objectives.