Top Machine Learning Jobs in Lisbon

As an Applied Scientist at Chewy, you will develop machine learning and data science solutions to enhance the shopping experience for pet owners. Responsibilities include improving product relevance, click-through prediction models, and auction algorithms, while collaborating with product and engineering teams. You will also publish research and mentor junior scientists.

The Senior Machine Learning Engineer will focus on utilizing machine learning technologies to develop risk-based solutions that enhance customer verification processes and reduce fraudulent identities. Responsibilities include designing ML pipelines, maintaining model platforms, and shaping long-term ML strategies while collaborating with various teams at Cash App.

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 Application Engineer, you will oversee design and implementation of assigned products, manage risks, analyze and deploy new user stories, guide junior engineers, and enforce IT standards. Collaboration with various stakeholders is crucial for achieving team commitments and ensuring high reliability of solutions.

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 AI Steward will manage data governance and compliance throughout the AI development lifecycle, ensuring ethical AI practices. This role involves establishing governance frameworks, collaborating with development teams, and addressing data issues to maintain safety and integrity in AI solutions.

The Data Architect will embed themselves in Data Product teams to support data ingestion, data engineering, design, data modeling, and machine learning. Responsibilities include leading data analysis, designing comprehensive business data products, ensuring data design and security compliance, and empowering Data Product Squads for better design paths.

The Director of Data Science will lead a team to enhance customer and advertiser experiences through machine learning models at Chewy. This involves developing data-driven solutions to improve product selection and optimization while publishing research and mentoring junior team members.

As a Senior Data Scientist, you will analyze complex business problems using advanced statistical methods and machine learning techniques. Collaborating with various teams, you will develop predictive models, design experiments, and communicate insights to stakeholders to drive revenue for the organization.

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 Senior Staff AI Software Engineer at Gusto, you will develop AI applications to enhance the efficiency of small business operations. You'll collaborate closely with Gusto's co-founder to implement your vision and mentor fellow engineers in AI software development.

The Machine Learning Engineering Specialist at ZS will design and implement ML features, collaborate with client teams, write production-ready code, ensure deliverable quality, conduct testing, participate in agile ceremonies, evaluate new technologies, and support project architecture.

The Senior Data Science Analyst will execute analytical initiatives by solving business problems using advanced analytics and machine learning techniques. Responsibilities include developing reports and dashboards, managing risk issues, collaborating with partners, and continuously improving work processes.

As a Principal Quantitative Modeler, you will enhance modeling frameworks, develop econometric and machine learning models, and provide insights for Capital One's risk and capital needs. Collaborate across teams to create analytical solutions and communicate results effectively to drive business performance.

The Executive Director of Data Engineering and Governance will lead data engineers and governance analysts in designing and overseeing technology architecture for data management. Responsibilities include implementing data governance frameworks, managing data quality processes, and collaborating with data owners to establish critical data elements. This role also involves directing the use of AI and machine learning for data cleansing and organization, while aligning technical solutions with business strategy and goals.

The Executive Director, Data Engineering & Data Governance will lead a team of data engineers and analysts to develop and implement technology solutions for data management and governance. Responsibilities include establishing data quality processes, building data structures, and using AI and machine learning to enhance data handling. This role also involves cross-functional collaboration, project management, and development of business strategies to improve operational efficiency.

As a Principal Engineer in ML/AI, you will lead technical efforts across teams, drive product development, set engineering standards, and provide mentorship while collaborating closely with various stakeholders to enhance and innovate financial services.