Top Data Science Jobs in Amsterdam

As a Senior Data Scientist, you will lead data science projects within the Business Intelligence team by utilizing advanced analytical tools to support decision-making processes, improve sales, client retention, and product adoption, while delivering actionable insights from large datasets through effective storytelling.

You will design and develop trading models and algorithms aimed at optimizing execution in high-frequency trading. Duties include analyzing trades data, working with engineering and research teams to improve strategies, and managing large datasets for post-trade analytics to identify market opportunities.

As a Senior Data Science Consultant at Sia Partners, you will lead complex modeling projects, develop predictive decision support models, create optimization solutions, and process large data volumes. Your role involves managing client relationships, supervising junior consultants, and contributing to internal training and publications.

As a Senior Data Science Consultant at Sia Partners, you will lead and execute transformation projects for clients, focusing on developing predictive models using machine learning, conducting operational research for optimization, and processing large data sets. You will also contribute to business development and internal activities, eventually taking on team leadership roles.

The Senior Product Manager will lead market research, analyze product performance, and communicate insights to stakeholders. They will collaborate with development teams to prioritize new features and ensure effective product positioning across cross-functional teams.

The Data Team Manager at Storyblok will lead data science and engineering efforts, shaping data strategy and managing a team of four. Responsibilities include defining the data analytics strategy, partnering with various teams for actionable insights, and ensuring high-impact projects are delivered on time to support business objectives.

The Data Science Lead will manage data science projects, enhance and monitor the digital twin model's accuracy, and collaborate with cross-functional teams to translate business needs into analytical solutions. The role involves guiding data strategy, developing performance metrics, and mentoring team members to foster innovation.

The Head of Growth will lead a team focused on driving commercial results using data and technology. Responsibilities include managing the marketing technology stack, overseeing customer lifecycle analytics, optimizing lead conversion rates, developing SEO practices, and collaborating with various departments to implement data solutions.