Top Data Science Jobs in Lisbon
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.
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.
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).
Join as Vice President of Quantitative Strategic Assessment for the Home Lending Optimization Group, collaborating with Decision Science, Marketing, and Technology to enhance the performance of the Home Lending division through data analysis, tools development, and strategic 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 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.
Featured Jobs
The Data Scientist will contribute to innovative projects in data science, machine learning, and AI across various sectors, engaging with military and civilian customers to apply cutting-edge technologies and algorithms. They will collaborate with diverse teams, mentor peers, and focus on developing frameworks and tools for mission-critical applications.
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.
The Data Science Analyst will work with management on analytical initiatives, developing reports and dashboards while identifying opportunities for business improvement using various analytical techniques. Responsibilities include customer segmentation, optimization, and predictive analytics to enhance strategies and performance.
.png)
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.
As a Data Scientist Associate, you will collaborate with various teams to gather requirements and work on analytics related to Chase's branch and ATM distribution network. Responsibilities include developing algorithms for large geospatial datasets, implementing ML models, and documenting analytics processes to meet control obligations.
As a Principal Machine Learning Engineer, you will lead the development of prediction or optimization engines for advertising platforms, driving innovation through AI and machine learning. Responsibilities include designing ad algorithm architecture, developing scalable data analysis methods, and collaborating with cross-functional teams.
The Lead Data Scientist will drive innovation in advertising by applying data science and statistical analysis. Responsibilities include developing models, defining key metrics, delivering insights, analyzing A/B tests, and mentoring team members within a collaborative environment.
The Senior Data Science Analyst is responsible for managing and enhancing credit risk oversight processes, evaluating consumer credit risks, managing a team, and developing reports on credit risk appetite. The role involves collaborating with teams to mitigate risks and presenting analytical findings to management.
As a Data Science Associate Consultant, you'll develop advanced algorithms, apply statistical techniques, and analyze data trends. You'll collaborate with clients, contribute to technology assessments, and mentor junior team members, driving impactful solutions and fostering innovation.
The Associate Director of Data Science at Chewy will oversee the development and implementation of models for solving complex supply chain problems, using machine learning and operations research. This role involves deep diving into supply chain data to derive insights and collaborating with various supply chain functional areas for optimization. The candidate will also manage science teams and implement process improvements within the supply chain.
The Vice President of Translational Data Science will lead the strategy for integrating population-scale genetics with machine learning to enhance drug development processes. Responsibilities include identifying disease linkages, driving precision medicine initiatives, developing computational tools, and collaborating across departments to ensure computational biology integrates effectively into therapeutic strategies.
The Data Science Director at OpenX will lead the Machine Learning team, guiding the development of ML products and collaborating with cross-functional teams to execute the ML team's roadmap, ensuring innovative and scalable solutions are delivered on time.
The Sr. Manager, Data Science will lead projects focused on optimizing Walmart’s supply chain strategies using advanced analytics and data modeling. Responsibilities include project management, data analysis, and the development of metrics and dashboards, with a goal of enhancing customer experience and operational efficiency.
The Data Science Lead is responsible for defining and building data assets to track performance metrics for AI-powered products. They will work with engineering, product management, and design to improve key performance indicators and develop quantitative methodologies for performance analysis. The role focuses on user experience and cross-functional collaboration to enhance Glean's AI products.
Top Companies in Lisbon Hiring Data Scientists
See All
Popular Job Searches
Tech Jobs & Startup Jobs in Portugal
Software Engineer Jobs in Portugal
Data Science Jobs in Portugal
Machine Learning Jobs in Portugal
Artificial Intelligence Jobs in Portugal
Product Manager Jobs in Portugal
Front End Developer Jobs in Portugal
QA Engineer Jobs in Portugal
Tech Jobs & Startup Jobs in Lisbon
Software Engineer Jobs in Lisbon
Data Science Jobs in Lisbon
Machine Learning Jobs in Lisbon
Artificial Intelligence Jobs in Lisbon
Product Manager Jobs in Lisbon
Front End Developer Jobs in Lisbon
QA Engineer Jobs in Lisbon
Remote Jobs in Portugal
Remote Jobs in Lisbon
All Filters
No Results
No Results
