Top Data Science Jobs in Lisbon

The Business Manager will lead strategic initiatives and marketing efforts to enhance customer experience, utilizing analytics to drive decisions and improve performance. Responsibilities include partnership with various departments and managing the execution of business strategies.

The Director of Data Science & Analytics will manage a team, drive analytics vision, enhance product outcomes, and partner with executives.

The Decision Analytics Manager oversees projects and teams, providing technical guidance in data analytics and business strategies. Responsibilities include managing project scopes, mentoring staff, conducting analyses, and ensuring quality deliverables, while engaging with clients and driving business development efforts.

The role involves time-series forecasting, data analysis, enhancing forecasting processes, and consulting with stakeholders to optimize resource planning.

Lead a data science team to enhance patient acquisition and retention through data-driven insights and experimentation, while collaborating with various departments.

The role involves analyzing marketing campaigns, providing actionable insights, and implementing strategies to optimize campaign performance; requires collaboration across teams and advanced data analysis skills.

The role involves leading Risk Data Science, developing credit decisioning models, and ensuring compliance with model risk management in a regulated environment, focusing on next-gen machine learning techniques and alternative data integration.

As a Senior Data Scientist for Sports Modeling, you will develop and implement statistical and machine learning models, work with data assets, and ensure integration into applications while collaborating with teams across the organization.

The Manager of Data Science leads efforts in fraud prevention, leveraging machine learning and data analysis while collaborating with cross-functional teams to implement effective strategies.

Develop advanced algorithms, apply statistical techniques, support clients with data analysis, contribute to emerging datasets, mentor junior associates, and advance thought leadership through research.

As a Data Science Intern, you will collaborate with team members to build models, analyze data, and assist in productionalizing ideas while gaining insights into the logistics industry.

The Co-Brand Product Analytics SVP leads a team in driving product growth through data-driven insights, analytics, and strategic decision-making in the credit card sector.

The AI Use Case Lead drives innovation through AI in pharma, aligning projects with business goals, from ideation to implementation, collaborating across teams.

Interns will contribute to data projects using Python, big data tools, and statistical models while gaining professional experience and development opportunities.

Analyze content performance, influence product roadmap, manage content strategies, classify data, and collaborate with engineering on AI and ML initiatives.

The Senior Consultant will support organizations in leveraging location intelligence for decision-making in natural resource management and geodesign, while managing complex projects and fostering client relationships.

The Senior Actuarial Assistant will lead moderate to complex analysis in risk insights, collaborate with product teams, and communicate results while managing projects in a fast-paced environment.

The Associate Director of Trial Analytics supports clinical operations by providing advanced analytics, scenario modeling, and strategic decision-making to improve trial outcomes and operational efficiency.

The Associate Director will lead data strategy and management for Neuroscience, ensuring data quality and governance while supporting analytics and operational processes.

Lead the Data Science Platform, building predictive models for drug acquisition, optimizing portfolios, and collaborating with engineering teams for scalable systems.

Lead and operationalize Inovalon's data strategy, establish governance frameworks, unlock data value, and inspire a data-driven culture.

Lead the Global Data Science & Analytics Product Development team, leveraging data science expertise to build market-leading data products and analytic solutions.

Design and deploy advanced machine learning and Generative AI models, lead projects, and ensure operational viability. Collaborate with teams to deliver solutions.

Oversee advanced data analytics to enhance fraud prevention and customer experience. Work with cross-functional teams to implement solutions for high-risk accounts and drive project delivery.

Data Scientists will develop and implement data analysis strategies, communicate findings, and extract meaning from large datasets for government missions.