Top Data Science Jobs in Lisbon

Responsible for developing and executing underwriting guidelines and rating rules for personal auto insurance, ensuring compliance and alignment with business goals.

The Manager in Marketing Analytics will lead analytics projects, build client relationships, manage teams, and guide strategic consulting for key clients.

Lead global Biostatistics for CVRM, driving strategy, team development, and collaboration with internal and external stakeholders to enhance study design and insights generation.

Agap Technologies Inc. offers online Data Science training, providing real-time instruction, interview training, and support for OPT applications with a professional environment.

As a Data Scientist, you will solve GM's challenges using AI and machine learning, developing models and delivering insights via UI applications.

Lead a team of data scientists to drive user growth through insights and strategic initiatives, collaborating with cross-functional partners.

The Data Scientist 3 role involves analyzing large datasets, developing qualitative and quantitative methods, and communicating technical insights to non-technical audiences, requiring significant experience in data science and programming.

The Data Scientist will develop strategies to extract insights from large datasets, implement data analysis methods, and communicate findings to both technical and non-technical audiences, requiring advanced knowledge in various data and statistical methodologies.

The Lead Data Scientist will drive AI/ML initiatives to enhance search capabilities, improve performance and personalization, and mentor teams.

Lead and scale the Data Science team, drive innovation in ML capabilities, solve business challenges, and enhance customer safety through data-driven solutions.

Lead development and integration of AI and ML at Life360, driving growth through data science across business domains, while mentoring a high-performing team.

The Senior Data Science Engineer will develop and productionize machine learning models, manage data pipelines, and improve algorithms for optimal performance.

Lead the development of AI solutions utilizing agentic AI systems, LLMs, vector databases, and collaboration with cross-functional teams.

Lead and build the Marketing Data Science function, develop high-impact models, own the roadmap, mentor the team, and collaborate across the business to inform strategies and optimize marketing investments.

The Data Scientist will develop and test models for lending criteria, conduct analyses using statistical tools, and communicate findings effectively.

Lead the data science and AI function at Global Payments, defining strategy, building teams, and driving business value through AI solutions.

Lead Calendly's AI/Data Science strategy, manage teams, drive innovations in AI/ML solutions, oversee project lifecycle, and ensure ethical practices.

The role involves leading data science efforts at Night Market, focusing on analytics methodology, machine learning applications, and client engagement strategies.

As Director of Data Science, you will lead a team to build predictive models for decision-making across Altruist, enhancing forecasting accuracy and engaging with various departments.

The Director of Data Science will build predictive infrastructure, manage a team, develop forecasting models, and support strategic decision-making.

The Sr. Manager Data Science, Marketing at CarMax will lead data science initiatives to optimize marketing strategies, manage a team, and contribute to organizational goals using advanced modeling techniques and data analytics.

Lead and expand the Data Science team, innovate data solutions, set priorities, define metrics, and enhance data quality for strategic decisions.

Lead and build the Data Science team, innovate business intelligence solutions, collaborate with various teams, and impact strategic decisions.

As a Data Science Platform Researcher, you will develop machine learning models, design NLP solutions, and collaborate on healthcare data projects.

Lead the development and governance of machine learning models for risk underwriting, manage a team, and optimize data strategies for consumer credit risk.