Top Data Science Jobs in Lisbon

As Manager of Data Science, you will lead a team creating statistical evaluations, guiding annotations, and developing metrics for agent performance in healthcare-related projects.

Conduct research using data mining and statistical modeling to derive insights from large unstructured data sets for investment decisions.

Analyze and interpret complex data sets, develop predictive models, collaborate with teams, create visualizations, and communicate insights.

Entefy seeks a Senior Data Scientist with a Master's or PhD in a relevant field, and 3+ years of experience. Responsibilities include delivering advanced analytics, leading teams, and extracting insights from datasets.

As a Data Scientist at Voleon, you will analyze complex datasets, ensure data correctness, and communicate insights to executives, leveraging AI and machine learning for investment management.

The Senior Data Scientist will collaborate with engineering and product teams to define data assets, improve KPIs, and enhance analytics for AI-powered products.

The Director of Data Science will lead data science initiatives in ecommerce, mentor a team, and execute a data-driven strategy to improve user experiences and business outcomes.

The role involves providing data science and operations research capabilities, developing analytical solutions, and supporting decision-making processes at a combatant command.

The Data Science Manager will lead a team in developing predictive models using data from Govini's Knowledge Graph, focusing on customer collaboration and innovative solutions.

As a Data Science Intern, you'll learn to translate business challenges into statistical problems, analyze large datasets, build machine learning models, and communicate insights effectively.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

Design and deploy data processing pipelines, analyze data to extract insights, and develop software systems for data management and privacy.

The Data Scientist will identify new datasets, build tools for data ingestion and cleaning, analyze data, and support trading operations.

Lead a team of data scientists in telematics modeling, manage projects, create predictive models, and communicate insights effectively.

As a Data Scientist, you will analyze data using advanced statistical methods, develop predictive models, and generate insights to improve healthcare provider engagement and network strategies.

As a Senior Data Scientist, you will lead data-driven insights to drive product strategy, mentor junior data scientists, and engage stakeholders to align goals and improve decision making.

The Senior Data Scientist will architect scalable risk models and data pipelines, mentor team members, and collaborate across functions to drive business value.

As a Lead Data Scientist, you'll extract insights from large datasets, develop predictive models, and optimize processes while collaborating with teams.

Analyze large data sets, build predictive models, automate data collection, and collaborate with teams to enhance decision-making and performance.

Data Scientist needed for managing customer data collection and addressing data gaps, requiring active TS/SCI clearance and expertise in various data management tools and programming languages.

The Data Scientist will design experiments, monitor metrics, build dashboards, evaluate data sets, and perform data analysis to inform operational decisions.

As a Senior Data Scientist, you will design experiments, analyze data, collaborate with teams, and drive product strategy through insights and metrics.

Build and train AI platforms as part of the ML/Data Science team, collaborating with a diverse group to develop machine learning applications.

As a data scientist at Perplexity, you will analyze user behavior, perform A/B testing, and develop dashboards to inform product decisions.

As a Data Scientist, you will develop algorithms and software solutions while collaborating with a multidisciplinary team on data analysis and machine learning projects.