Top Data Science Jobs in Lisbon

Seeking a leader for the MLIR team at Netflix to drive machine learning innovations, collaborate with various teams, and enhance organizational capabilities.

Lead the Ads Data Science and Engineering team, driving forecasting, optimization, and strategy while supporting Netflix's ad-tech ecosystem.

As a Data Scientist, you will analyze large datasets, implement machine learning algorithms, and communicate findings. You'll support government clientele and ensure proper data management and modeling.

The Manager, Data Science will lead a team of data scientists in developing machine learning models and data analysis to enhance banking experiences and security.

The Data Scientist will design and implement machine learning algorithms, analyze datasets, communicate findings, and meet mission requirements using technical expertise.

As an LTE Performance Analyst, you will evaluate and optimize LTE network performance, analyze data, identify issues, and implement solutions.

The Quantitative Researcher will analyze private credit markets using statistical models, conduct data analysis, and communicate insights to support investment teams.

Lead and execute HEOR strategy, derive insights from health datasets, manage a team, and communicate findings to enhance patient outcomes and reduce healthcare costs.

As a Lead Data Scientist, you'll build and improve models for credit risk, customer churn prediction, and optimize marketing spend, while collaborating with cross-functional teams.

Develop and maintain models to identify credit risk, predict customer churn, and optimize marketing spend. Collaborate with Product and Engineering teams.

The Quantitative Research Analyst will analyze financial data, develop investment models, and assist in portfolio construction while employing data science techniques.

As a Data Science Platform Engineer, you will build frameworks for predictive models, expand NLP analysis, and develop Java applications, while collaborating with the data science team.

The Manager, Data Science role focuses on leveraging machine learning and analytics in a financial services environment, partnering with cross-functional teams to impact customer-centric product development.

Join Clarity AI's Talent Community by submitting an open application for various roles in product, technology, finance, marketing, or operations to drive positive impact.

The Founding Data Scientist will design metrics, enhance data insights, collaborate on platforms, and communicate strategies for user safety.

Lead the development of CMC portfolio analytics and insights, build a high-impact team, and establish data-driven decision-making strategies in the pharmaceutical industry.

The Director of Digital Analytics will lead data strategy and manage analytics teams, ensuring effective execution of business intelligence and digital data initiatives.

Lead AI strategy and adoption within the organization, foster internal collaboration, measure impact and success of AI initiatives.

Drive data science vision and strategy to improve marketplace quality by detecting issues like counterfeits and fulfillment delays through advanced machine learning techniques.

The Manager, Business Analytics will lead the development of data science solutions, consult with clients, and mentor junior team members while analyzing large datasets to drive business insights.

The role involves leading data science initiatives, managing large datasets, developing predictive models, and building a high-performing analytics team.

The Data Engineer II role involves developing data transformation pipelines and systems, contributing to data sources for machine learning, and creating tools for data visualization and extraction.

The Principal Consultant will lead data-driven consulting projects in the Technology, Media, and Entertainment sector, develop analytics frameworks, manage client relationships, and provide high-end analytics solutions to enhance marketing effectiveness and business strategies.

Lead a high-performance Data Science team at Pinterest, driving data democratization, ensuring data integrity, and translating business needs into analytical solutions.

Interns will engage in data science, engineering, and analytics roles, utilizing data to provide insights and improve decision-making processes for Chevron.