Top Data Science Jobs in Portugal

Bluesight is seeking a Manager of Data Science & Analytics to lead a team in providing intelligence to product teams, building data products, and creating predictive models to enhance medication management for healthcare providers. The role involves hands-on work with algorithms, data quality, automating reporting, and coaching the data science team. The candidate should have experience in data science, machine learning, visualization, SQL, AWS ML technologies, and data lakehouse architecture.

Oscar is hiring a Senior Manager, Data Science to lead a team of data scientists in leveraging data for enhancing healthcare services. Responsibilities include translating business goals into plans, managing a team, and collaborating with cross-functional teams. The role offers a salary range of $174,400 - $228,900 per year and is based in New York City, Tempe, or Los Angeles with remote options available for residents of specific states.

Seeking a VP, Data Science & ML to lead modeling and AI/ML initiatives across the enterprise. Responsibilities include setting strategic direction, managing existing models, collaborating on machine learning platform deployment, and leading a team.

Join Hims & Hers Analytics and Data Science team to engage in data-driven decision making, improve user experience, and contribute to product development. Collaborate with business leaders, marketers, and product teams to drive analytical insights, and leverage machine learning for innovative solutions across the organization.

The Manager of People Insights & Analytics will establish Stitch Fix’s listening strategy and create an integrated analytics roadmap. The role involves improving decision-making through data in collaboration with senior leaders while managing people analytics platforms and enhancing data literacy across the organization.

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 position involves leading a team to create innovative technology that integrates natural language processing, big data, and artificial intelligence to enhance digital communication. The candidate should have extensive experience in relevant fields and demonstrate leadership and collaboration skills.

The Senior Business/Systems Analyst will liaise between AI leadership, data scientists, and project managers to develop business requirements for an AI solution tailored for FDA's medical device evaluations. Responsibilities include leading business tasks within the development lifecycle, supporting the team in creating a working prototype, and assessing the tool's effectiveness in regulatory reviews.

The Senior Data Science Engineer will develop, test, and productionize machine learning models, optimize data delivery processes, and build infrastructure for data extraction and analysis. Responsibilities include model performance testing, algorithm improvements, and collaboration with cross-functional teams.

As the Sr. Director of Analytics, you will lead analytics initiatives to optimize media and digital investments, develop measurement strategies, and provide data-driven insights. You will oversee a team, ensuring the implementation of analytical frameworks and enhancing user experiences through strategic data leadership.

The Lead Data Scientist at CoinFlip will develop the vision and strategy for data science initiatives, lead a high-performing team, and collaborate across functions to apply data science for business growth and efficiency. Responsibilities include overseeing the full ML/AI development cycle and mentoring team members.

The Senior Data Scientist will analyze resident health and care data to provide insights and feedback, design and maintain algorithms, integrate new datasets, create visualizations, and collaborate with various teams to address business needs using data.

The Software Manager will develop data engineering and science strategies, mentor team members, design and develop data pipelines, and communicate with stakeholders regarding data needs. The role involves leading projects and ensuring compliance with GDAS standards while maintaining communication with product teams and customers.

The Business Intelligence Developer will design and implement BI solutions, create reports, dashboards, and visualizations from complex data. They will collaborate with stakeholders to understand data needs and enhance existing BI systems for accuracy and efficiency in data-driven decision-making.

The Lead Data Scientist will build and mentor a team, define the technical vision, design advanced search algorithms, develop machine learning models to personalize user experiences, conduct data analysis, and collaborate with product teams to turn business needs into data projects.

Mentors provide technical support to students by answering queries, reviewing project submissions, and offering personalized feedback while ensuring original work. They maintain a quick response and review time to foster a supportive learning environment.

The Data Scientist will identify valuable data sources, automate collection processes, analyze complex datasets to identify trends, develop databases that optimize statistical efficiency, and help improve team collaboration. Responsibilities include maintaining knowledge of tech trends, assisting teammates, and evaluating new tools.