Top Data Science Jobs in Krakow

As a Data Science Engineer at Accuris, you will develop and maintain data processing pipelines for parsing and analyzing unstructured content. Your role will involve designing and optimizing machine learning models, managing MLOps functions, and collaborating with teams to enhance the solutions. The focus will be on integrating these solutions into existing products and improving the retrieval and analysis of engineering data.

The Senior/Lead Data Science Engineer will design and implement ML solutions, collaborate with stakeholders to understand requirements, and develop models for batch and real-time operations. Responsibilities include leveraging Generative AI, analyzing data, and continuously improving models based on new data and business needs.

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 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 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.