Top Data Science Jobs in Portugal
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.
The Manager, Product Data Science will lead a cross-functional team to enhance product experience and matching effectiveness between customers and professionals. Responsibilities include analytics, team management, and strategic product development in collaboration with various departments to drive business decisions.
The Vice President of Data Science will lead and grow a team of data scientists, guiding them in product, marketing, and operational analytics. This role involves defining opportunities, setting strategic goals, and driving data-driven decision-making across the organization to enhance product development and achieve business objectives.
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.
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.
As an AI Tutor, you'll teach and evaluate AI models on data science principles, including statistical modeling, machine learning, and data visualization. You'll provide feedback to enhance AI understanding and conduct tests to identify model vulnerabilities and biases.
Featured Jobs
Manage a team of data scientists and research scientists, focusing on program management, resource allocation, and team development. Oversee execution of data science projects while optimizing team efficiency and fostering a collaborative culture. Communicate project status and manage dependencies across initiatives to ensure success and alignment with business objectives.
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.
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 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.
As a Data Science Associate Consultant, you will develop advanced algorithms, apply statistical techniques, communicate analysis findings, assess technologies, and mentor junior team members while contributing to the team's thought leadership and client engagements.
As a Data Science Associate Consultant, you will develop advanced algorithms, apply statistical techniques, analyze data trends, collaborate with clients, and mentor team members. Your role involves leveraging data to address business challenges and contribute to thought leadership through research.
Lead the development of innovative ML-based products, architect AI-enabled data products, lead research and design for new product lines, and engage with clients to deliver transformative solutions. Oversee development cycles and foster talent through recruitment and training.
Lead the development of innovative ML-based products, architect AI data solutions, research advanced algorithms, and engage with senior clients to deliver transformative solutions. Oversee hybrid teams in the creation of AI applications and contribute to ZS's talent development and firm strategy.
Play a key role in development of data science capabilities for solving problems in the life sciences Supply Chain and Manufacturing (SC&M) space and development of offerings that create scale and advance our analytic platform. Drive parallel SC&M AI programs through effective large-scale project management. Engage with senior client leaders to deliver value through transformative solutions. Contribute to new business opportunities. Drive business and strategy development through project delivery and client relationship management. Motivate, coach and serve as a role model for project team members. Recruit new team members as needed. Own responsibility for work product quality and relevance to client decisions. Establish or maintain ongoing client relationships with key decision makers that drive new business development. Provide thought leadership and innovation within projects and across practice areas. Support development of firm capabilities and offerings (recruitment, training, internal initiatives).
The Manager of Data Science will harness data science and analytical insights to support brand strategies for the US Commercial team. Responsibilities include developing machine learning models, interfacing with stakeholders, enhancing brand and sales understanding, and driving execution strategies.
The Director, Commercial Performance Reporting & Insights will work closely with senior stakeholders to enhance commercial performance tracking and reporting. This role involves standardizing and centralizing the reporting ecosystem while implementing best practices to transform data into actionable insights that influence business decision-making.
As a Senior Data Scientist, you will partner with a team to deliver customer-focused products by leveraging technologies like Python, AWS, and Spark. You will build machine learning models through all phases and extract real-time insights from large datasets to inform business decisions.
The Senior Data Science Experimentation Manager at Spectrum leads the data science team in stakeholder collaborations, develops data tools and models, and supports the company-wide experimentation education program. Responsibilities also include managing employees, formulating and managing projects, and working with key customers to establish roadmaps and present results.
The Manager of Data Science will lead a team in developing econometric loss models and predictive analytics that inform strategic decision-making in consumer credit risk management. The role involves optimizing and deploying machine learning models, leveraging extensive data to drive insights and growth opportunities, while collaborating across teams to deliver valuable products.
As a Senior Associate Data Scientist, you will work in a team to build machine learning models for regulatory compliance and risk management. Responsibilities include leveraging technologies to analyze large datasets, developing and validating predictive models, and collaborating with cross-functional teams to achieve business objectives.
As a Senior Associate Data Scientist, you will create machine learning models for regulatory compliance and risk management. You'll work with cross-functional teams to extract insights from vast data volumes using advanced technologies, while translating complex analyses into business goals.
As a Senior Associate in Data Science, you will use generative AI to analyze call transcripts and document images, fine-tune large language models, manage data annotation projects, and collaborate with machine learning engineers and business stakeholders to develop and enhance machine learning solutions.
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