Top Data Science Jobs in Portugal
The Director of Data Science will leverage a wide array of technologies to build and implement machine learning models, collaborating with a team to drive improvements in decision-making and risk management. They will also engage in talent development and lead innovative solutions in the Model Risk Office.
As a Director of Data Science at Capital One, you will lead a team focusing on model risk, utilizing your expertise in statistics and software engineering to drive decisions in risk management. You will leverage cloud technologies and machine learning to develop models, and work cross-functionally with various teams to deliver value to customers.
As a Manager of Data Science, you'll lead initiatives to enhance code quality and standards. You will present progress to stakeholders, evaluate machine learning pipelines, and optimize software tools for better data insights. The role emphasizes teaching best practices in software development to the team.
The Data Science Manager at Capital One's US Card team will lead the development of advanced machine learning solutions for customer management valuation. Responsibilities include applying machine learning algorithms, connecting data science solutions with business outcomes, and managing existing model suites. The ideal candidate should have strong software engineering skills, proficiency in machine learning algorithms, and the ability to communicate technical details effectively.
The Data Science Manager at Capital One will be responsible for building customer management valuation models using advanced machine learning solutions. They will work closely with cross-functional teams to deliver impactful business outcomes.
As a Principal Data Scientist, you will collaborate with a team to develop machine learning models and gain insights from large datasets. Your responsibilities include leveraging technologies like Python and AWS, translating complex data into business objectives, and leading projects that enhance commercial banking solutions.
The role involves leading and mentoring a team of Data Scientists and UX Researchers, prioritizing impactful research opportunities, developing research strategies, and delivering actionable insights. The manager will also cultivate team culture, present findings to executives, and oversee resource needs and hiring.
As a Director on the AI/ML team, you will lead a team of data scientists to address complex business challenges in Global Financial Crime Compliance. This role involves designing machine learning solutions, mentoring staff, collaborating with stakeholders, and managing project lifecycles to deliver impactful AI/ML implementations.
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The Executive Director will lead the Internal Audit Chief Data Office, optimizing data use for insights and AI/ML applications. Responsibilities include managing the Data Program, enhancing data quality, fostering a data-driven culture, driving strategic initiatives, and collaborating with stakeholders on data-related solutions.
As the Vice President - Data Science Lead, you will analyze large-scale workforce data to create statistical and data science models. Key responsibilities include building analytical solutions, collaborating with technology teams, and communicating results to stakeholders, all while managing a hands-on approach to data science and statistical modeling.
As a Data Science Associate Consultant, you will develop advanced algorithms to solve complex problems, apply statistical techniques, and analyze trends. You will work closely with clients and stakeholders to communicate findings, assess new datasets, and contribute to research and mentorship within the team.
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 Manager, you will lead the development and deployment of AI and ML-based enterprise products. You will oversee a team to solve complex business problems, engage with clients, and drive the firm’s strategies in AI. Academic excellence and extensive hands-on experience in implementing AI solutions are essential.
As a Data Science Manager, you will lead the development of ML-based enterprise products, architect AI-enabled data solutions, research cutting-edge algorithms, and engage with senior clients. You'll also drive team collaboration in solving complex problems, contribute to thought leadership, and enhance ZS talent through recruiting and training.
Lead the development lifecycle of ML-based products, architect AI-enabled data solutions, engage with client leaders, and foster talent while delivering transformative results in supply chain and manufacturing.
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).
As a Summer Associate in the AI & Data Science program, you will work on cutting-edge research in machine learning, collaborating with traders to drive data-led transformations. Your role will involve applying deep learning and other advanced techniques, supported by mentorship and project work.
As a Staff Data Scientist, you'll design and implement new features, mentor team members, and collaborate with engineers to create data-driven solutions. This role involves developing machine learning models, working with structured and unstructured data, and communicating insights to stakeholders while promoting best practices in data science.
As a Senior Manager of Product Data Science at Databricks, you will lead a team of data scientists, drive the development of data and AI products, collaborate with product managers, define product metrics, and establish measurement methodologies to enhance customer experience and product growth.
As a Sr Manager of Data Science, you will lead a team to develop and execute data science projects, employing analytics to enhance customer experiences and drive product innovations in retail technology. Your role will involve collaboration with various stakeholders, establishing product visions, and analyzing data to generate actionable insights.
The Director, Social Analyst will lead the analysis of social media data to drive strategic decisions, manage a reporting team, and optimize SharkNinja’s social media marketing and product development strategies using advanced data analytics and insights.
Senior Data Scientist role at Square focused on leveraging data science techniques to improve incremental revenue generation. Responsibilities include understanding data ecosystem, supporting revenue forecasting models, partnering with ML engineers, driving insights with analytics, and mentoring team members.
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 end-to-end development life cycle of innovative ML-based enterprise products, architect and implement AI-enabled data products, research and assess state-of-the-art AI algorithms, engage with senior client leaders, publish thought leadership pieces, foster ZS talent, shape firm strategy in newer areas and practices including AI.
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.
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