Top Data Science Jobs in Lisbon
The Associate Director of Medical Data Strategy and Analytics leads the strategic planning and execution of data analytics initiatives within US Medical Affairs, focusing on developing data visualization tools, creating measurement frameworks, and enhancing analytics capabilities to improve decision-making and operational efficiencies.
As a Senior Data Scientist at Udemy, you will collaborate with cross-functional teams to enhance skill assessment platforms, develop data pipelines, and psychometric models. You'll work on defining metrics, building dashboards, and implementing innovative solutions in educational assessment. The role requires strong analytical skills and familiarity with measurement models.
The Vice President of Data Science Research will lead the research organization focusing on innovative quantitative methods for liquid biopsy cancer screening, drive the research roadmap, and transition new concepts into product development while maintaining reproducible research standards.
This is a one-year Graduate Programme designed for aspiring data practitioners and software engineers with no prior work experience. Participants will gain skills and hands-on experience in various tech tools and technologies, preparing them for a successful career in the tech industry.
The Data Science Manager at Garner will develop care navigation algorithms and analytics, while leading a team of 4-6 data scientists and analysts. Responsibilities include managing projects within the Data Science Guild and contributing to the healthcare mission by driving data-driven insights.
The Associate Marketing Data Scientist at The Walt Disney Studios will support the Marketing Science team by engaging in areas such as media measurement, forecasting, and optimization. Responsibilities include troubleshooting media measurement issues, consulting with stakeholders, conducting A/B tests, and utilizing economic principles to evaluate marketing effectiveness.
The Senior Manager, Data Science for Emerging ML focuses on leveraging machine learning and data science to enhance customer experiences at Capital One. Responsibilities include building machine learning models, refining integration patterns, and partnering with engineering and business teams to conduct experiments for marketing, servicing, and fraud prevention enhancements.
As a Manager of Data Science, you will lead cross-functional teams to develop AI and ML solutions, focusing on personalized customer experiences. You will leverage advanced technologies and statistical modeling methods to analyze vast datasets, build machine learning models, and translate complex data insights into actionable business strategies.
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As a Manager in Data Science at Capital One, you will lead the Recommendation & Personalization team to build scalable AI/ML solutions. Your responsibilities include partnering with cross-functional teams, developing machine learning models, and leveraging a diverse tech stack to extract insights from data while focusing on customer experience and innovation.
As a Manager of Data Science, you will lead a cross-functional team to create AI/ML solutions, build machine learning models, and translate complex data insights into business goals, all while ensuring customer-centric innovations.
As a Data Science Lead Vice President, you will mentor a team in applying advanced machine learning techniques to mitigate fraud across multiple payment channels. Your role involves driving analytics projects, enhancing customer experience, and presenting insights to stakeholders. You will lead research, implementation, and evaluation of analytical tools while fostering innovative thinking within your team.
As Sr. Director of Data, Analytics, and AI at NinjaTrader, you will lead efforts in data infrastructure, data science, business intelligence, machine learning, and AI. Your role involves managing a team, executing the technical roadmap, ensuring data governance, and fostering collaborations across departments to support data-driven decision-making and enhance user experience.
As a Data Science Co-op at Jellyfish, you will help develop algorithms, create machine learning models, and analyze data to provide insights for engineering teams. You will collaborate with customers and contribute to marketing efforts while exploring applied mathematics and machine learning.
The Data Science Co-op at Solaria Labs involves supporting various projects related to public health and safety using machine learning techniques. The role includes coding, collaborating with teams, and developing software prototypes, as well as building custom algorithms and insights from data.
The Sr. Data Engineer will build and maintain data pipelines, collaborate with cross-functional teams to understand data needs, and implement process improvements for better data delivery in a cloud-based environment. This role involves managing data engineering projects and ensuring scalable analytics applications.
The Senior Data Scientist will focus on fraud analytics, applying statistical modeling and machine learning to detect fraud in consumer-facing applications. Responsibilities include analyzing large datasets, developing predictive models, and creating real-time monitoring systems to identify and combat fraudulent activities.
The role entails using data and technology to enhance marketing operations by generating insights. Responsibilities include data analysis using SQL and Python, building revenue optimization models, aligning marketing planning with corporate strategy, and defining KPIs for performance measurement.
The Data Scientist will support vertical data science teams in experiment design and analytics, collaborate on innovative solutions to measure ecosystem health and business performance, and drive data-informed decision-making for Roblox's learning platform and ecosystem.
The Data Science Lead will enhance the investment process in asset management using NLP and machine learning. Responsibilities include collaborating with stakeholders, developing advanced ML solutions, curating datasets, monitoring model performance, and presenting results.
As a Principal Associate in Data Science at Capital One, you will develop machine learning models to enhance underwriting processes in credit card acquisition and management. You will collaborate with cross-functional teams, leveraging technologies like Python and AWS to analyze data and deliver innovative solutions.
As a Senior Manager in Data Science, you will lead a team of data scientists and machine learning engineers to create and implement AI models and applications that support Walmart's finance department. Responsibilities include model development, managing a team, and collaborating on cross-functional projects to leverage Walmart's extensive data.
As Sr. Director of Analytics, you will lead analytics initiatives to maximize the effectiveness of clients' media and digital investments. Responsibilities include developing analytics strategies, overseeing performance measurement, and generating actionable insights to enhance user experiences.
As the Sr. Director of Analytics, you will lead analytics initiatives, implement measurement frameworks, and improve digital performance for clients. You'll guide a team in data-driven strategies, focusing on media and app performance, conversion optimization, and marketing insights, while leveraging your expertise in predictive analytics and business intelligence.
As Sr. Director of Analytics at MERGE, you will lead analytics initiatives to enhance client media and digital investments. You'll guide a team in implementing analytics frameworks, measuring performance, and providing data-driven insights to improve user experiences. Your expertise in data science and marketing communications will drive growth and optimize performance metrics.
As Sr. Director of Analytics, you will lead analytics initiatives to improve clients' media and digital investments, implement frameworks, measure performance, and extract insights for enhanced user experiences. You will manage a team and align service offerings with market trends.
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