Top Data Science Jobs in Warsaw

Lead the design of predictive analytics for manufacturing, collaborate with stakeholders on AI/ML tools, and support digital transformation efforts. Drive data literacy and operational excellence through coaching and best practices sharing.

This role involves designing AI-enabled solutions, leading AI/ML architecture, mentoring teams, and ensuring regulatory compliance in AI operationalization.

The Principal RWD Strategy Lead develops RWD strategies for client projects, manages relationships with data providers, and oversees compliance with research regulations while mentoring junior staff.

As a Principal Threat Intelligence Researcher at NordVPN, you will lead the Threat Intelligence team, drive research excellence, and translate insights into protection improvements while mentoring junior researchers.

The Lead Golang Software Engineer develops server solutions, leads technical designs and code reviews, mentors colleagues, and ensures the quality of engineering practices in the Commercial Systems unit.

The Data Science Manager will lead the design and implementation of analytics tools, collaborate with various teams, and drive business performance using data-driven insights.

As the Data Science Manager, you will lead a team of data scientists, manage projects on TV and streaming viewership, and ensure collaboration across teams to deliver audience insights and drive impactful strategies for measuring and optimizing TV campaigns.

The Data Science Manager will leverage data analytics to create insights, collaborate with teams on business needs, and ensure project execution and documentation while driving data product development.

The Science Expert will perform end-to-end product analysis, build analytical models, translate data into insights, and enhance analytics practices.

Data Scientists at QuantCo will analyze data, build machine learning models, and communicate results to stakeholders, aiming for impactful solutions.

As a Data Science Intern, you'll identify frameworks for data-driven business challenges, transform datasets, run analyses, build machine learning models, and communicate results.

Develop and improve machine learning and statistical models for sports betting products, collaborating with teams to enhance performance and deploy models.