Top Data Science Jobs in Portugal

The Senior Manager of Data Science at Lyft will lead a team of data scientists to develop strategies and solutions for data-driven advertising initiatives. Responsibilities include building a high-performing team, collaborating with cross-functional partners, analyzing data for business opportunities, and enhancing productized models for operational efficiency.

The Senior Data Scientist at Abbott will analyze data, develop machine learning models, and conduct advanced statistical analysis to derive insights that support stakeholders in the ADC Division. Responsibilities include examining data sets, validating models, and contributing to analytics improvement initiatives.

The Data Scientist will leverage analytical skills to extract insights from complex datasets, develop and deploy predictive models using machine learning algorithms, and communicate findings to various stakeholders. The role requires collaboration with product and engineering teams and involves creating visualizations and refining algorithms based on performance metrics.

As a Data Architect, you'll develop datasets for data visualization and machine learning while working with structured and unstructured data. Responsibilities include automating data pipelines, building data ingestion frameworks using Data Bricks and Apache Spark, and collaborating with stakeholders to deliver data products.

The Staff Data Scientist will leverage advanced machine learning and big data techniques to optimize advertising performance at Walmart. Responsibilities include developing algorithms for ad relevance, processing large datasets, and collaborating with various teams to implement models and improvements.

As a Data Scientist, you will support a Federal government client by designing and implementing advanced models and solutions to address agency challenges, conducting data analyses, and developing data management tools to deliver comprehensive data solutions.

As a Data Scientist III, you will utilize advanced data science methods to resolve complex procurement challenges for Walmart. This involves developing machine learning models, analyzing large datasets, and collaborating with other teams to implement solutions that enhance Walmart's procurement processes.

The Senior Data Scientist at Thyme Care will develop financial models linking clinical activities to financial performance, work cross-functionally to address measurement gaps, track operational outcomes, support financial reconciliations, and facilitate analyses for executive leadership.

As a Data Scientist II, you will use AI and ML to enhance member engagement, develop analytics for communication channels, and collaborate with team members while potentially mentoring junior staff. You will also manage data pipelines, statistical models, and deliver analytical solutions with a focus on minimal oversight.

As a Senior Manager of Fraud Risk Data Science, you will lead a team focused on developing and implementing machine learning models for fraud detection and risk analysis. You will manage projects, collaborate with cross-functional teams, and communicate complex results effectively, all while driving business goals in a fast-paced environment.

The Senior Data Science Consultant will lead client engagements in various industries, focusing on building machine learning algorithms, mentoring team members, and collaborating with stakeholders. Responsibilities include data modeling, conducting ad-hoc analyses, and presenting results to both internal and external parties.

The Sr. Data Scientist will provide insights for the Wealth Management channel, collaborate with decision-makers, build statistical models, analyze data, and offer actionable insights while coaching junior team members.

As a Senior Data Scientist at Airspace, you will design and implement optimization models for logistics, build automated data pipelines, and conduct advanced statistical analyses to inform strategic decisions. You'll collaborate with cross-functional teams to streamline operations and drive data-informed insights and efficiencies.

The Sr. Postmarket Surveillance Data Scientist will analyze complaint, sales, and manufacturing data to track and trend investigations, create automated reports for regulatory inquiries, and develop Power BI dashboards for product performance oversight. They will also coach junior data scientists and contribute to process improvements in data analytics.

The Data Scientist will support data acquisition and investigation, develop custom data models, and correlate data for actionable insights. Responsibilities include assessing new data sources, implementing predictive modeling, coordinating with teams, and translating complex findings for stakeholders. The role involves analyzing large data sets, developing tools to monitor model performance, and utilizing analytical methods to answer business questions.

The Data Scientist will leverage data science techniques to extract insights from customer data, develop predictive models, and implement machine learning algorithms to enhance customer segmentation and personalization. The role involves collaboration with cross-functional teams, the creation of visualizations, and continuous monitoring of model performance.

The Data Scientist Principle will work on building advanced AI platforms to enhance developer productivity by leveraging machine learning and deep learning techniques. Responsibilities include optimizing AI models, improving code quality, automating development workflows, and designing user-friendly interfaces to support developers.