Top Data Science Jobs in Krakow

The Solutions Engineer will lead technical sales processes, design customer solutions using Cloudera technologies, and build relationships to ensure client success. Responsibilities include conducting demonstrations, collaborating with account managers, and advocating for customer needs to product management.

The Data Science Engineer will be responsible for developing and maintaining data processing pipelines for unstructured content, implementing machine learning models, overseeing MLOps functions, and collaborating with other teams to enhance product features and documentation.

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.

As a Senior Technical Project Manager, you will lead and manage data science projects, ensuring alignment with organizational priorities and adherence to best practices. You will facilitate communication between data teams and stakeholders, drive cross-functional collaboration, and focus on the sustainable implementation of scalable solutions.

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 Product Manager oversees the creation of data science products, focusing on e-commerce product discovery. Responsibilities include driving product strategy, maintaining product roadmaps, managing stakeholder expectations, and collaborating with engineering and other teams. The role emphasizes leveraging data analysis and technologies to enhance customer experiences and product offerings.

The Principal Data Science Engineer at Sabre will leverage statistical and machine learning techniques to tackle complex challenges in the airline industry, developing data models, algorithms, and ensuring data accuracy and model performance while collaborating with developers and subject matter experts. They will work on optimizing customer behavior insights and operational performance through data analysis.

As a Senior Data Scientist at BBH, you will develop AI models for Financial Services, monitor the efficiency of machine learning models, build data structures from big datasets, and collaborate with stakeholders to align data analysis with business needs.