Top Data Science Jobs in Lisbon
The Director of Data Science will lead a team responsible for developing advanced data science methods to enhance ad performance and revenue growth. Responsibilities include managing machine learning models, delivering actionable insights through data analysis, and building relationships with executives. This role emphasizes strategic improvements using data and effective team leadership.
As a Data Science Manager, you will lead a team to develop innovative credit and lending models, enhance financial inclusion, and improve risk assessment. You will drive cross-functional initiatives, manage advanced machine learning projects, and ensure compliance with legal standards while aligning with Chime’s business goals.
The Director of Data Science & Analytics will lead a team to drive strategic insights through data analytics in the Amazon marketplace. Responsibilities include leveraging technology for innovative solutions, optimizing reporting tools, conducting market research, fostering a data-driven culture, and ensuring compliance and data integrity. This role involves collaboration across multiple teams to identify new opportunities and improve business strategies.
The Director of Data Science and Machine Learning will lead the Machine Learning, Data Science, and Product Analytics teams, drive data-powered insights for product performance, and collaborate across departments to optimize business growth. Responsibilities include team leadership, defining strategic vision, fostering collaboration, and overseeing the development of ML and DS models.
Lead the Enablement team at Jellyfish, guiding data scientists and engineers in producing analytics, insights, and tools to inform product and business strategies. Deliver self-serve analytics capabilities, support executive reporting with bespoke analyses, and maintain analytics infrastructure while fostering a culture of data-driven decision-making.
The Head of International Credit and Data Science will lead the analytics team, developing risk models and credit policies to drive underwriting strategies and innovative product launches in Latin America and South East Asia. The role focuses on leveraging data to enhance business growth and improve customer financial health, while adapting solutions for diverse markets.
The Principal Data Scientist will lead analytical initiatives and provide strategic recommendations to solve business problems using advanced analytics, machine learning, and statistical methodologies. Responsibilities include collaborating with cross-functional teams, developing analytical frameworks, and delivering insights to leadership through presentations and reports.
The Senior Manager, Data Science will lead and grow a team of skilled data scientists, partner with senior leaders to identify business opportunities, and build KPIs. This role involves driving analytics strategy, managing roadmapping and sprint planning, and delivering high-quality analytic insights and data-driven solutions.
Featured Jobs
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 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.
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 the Sr. Director of Analytics, you will spearhead analytics initiatives, drive implementation of analytics frameworks, and lead a team. Responsibilities include improving media performance, user experiences, and marketing effectiveness through data-driven insights and analytics strategies. You will have a strong background in data science and business leadership, guiding clients to enhance their digital investments and outcomes.
As a Senior Associate in Data Science, you will leverage deep learning and generative AI to analyze unstructured data from call transcripts and documents. Your role includes fine-tuning large models, managing data annotation projects, building machine learning solutions, and collaborating with engineers and stakeholders to deploy and optimize models.
Develop and implement models and algorithms for complex supply chain problems, utilizing machine learning and operations research techniques. Collaborate with various functional areas to optimize supply chain processes and drive performance improvements.
As Director of Data Science at Chewy, you will lead a team to enhance customer and advertiser experiences via advanced machine learning solutions. Responsibilities include model development, collaboration with product teams, publishing research, setting performance standards, and mentoring staff.
As a Senior Applied Scientist at Chewy, you will lead the deployment of machine learning and data science to enhance shopping experiences, develop new models, and influence product and engineering strategies. You will mentor junior scientists and present research findings to business leaders.
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