Top Data Science Jobs in Poland

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 Data Science Consultant, you will analyze complex data sets, apply machine learning techniques, and implement optimization algorithms to enhance supply chain efficiency. Additionally, you will consult stakeholders on best practices, identify inefficiencies within the supply chain, and present actionable insights and recommendations based on data analysis.

The Manager will lead a team of data professionals to implement technology and product strategies, shape Ads products, and coordinate analytical roadmaps. Responsibilities include problem identification, team development, effective communication of analysis results, and collaborating with stakeholders.

The Manager coordinates a data team focused on ads products, enhancing data strategy and analysis. Key responsibilities include team management, collaborating with product management, and developing analytical roadmaps to solve complex challenges.

The Data Science Analyst will analyze the complete ML pipeline, assess value for ML projects, design experiments, and provide insights from data mining. This role involves co-developing methodologies and requires strong analytical skills along with basic knowledge of ML modeling.

The role involves analyzing ML projects, improving ML pipelines, conducting experiments, and co-developing methodologies within an internal Python library while utilizing strong analytical skills and working with data visualizations.

This role involves researching technology trends, analyzing and enhancing systems, overseeing innovation projects, collaborating with development teams, and engaging with stakeholders to present innovative solutions. Candidates should be proficient in Python, R, and have experience in AI/ML and data analytics.

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.

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.

The Senior/Lead Data Scientist will build and scale an experimentation platform, focusing on data pipelines, statistical methods at scale, and delivering production-ready solutions. Responsibilities include enhancing the platform, optimizing processes, and collaborating with the Experimentation and DevOps teams.

As a Data Scientist in the Location Intelligence team, you will analyze geospatial data, create data models using machine learning, handle data processing with tools like Python and BigQuery, and collaborate with engineers to improve data pipelines. You will also predict delivery times and communicate insights to stakeholders.

The Senior Data Scientist at YouGov will analyze large datasets to uncover insights regarding consumer behavior. Responsibilities include developing data science services, employing statistical and algorithmic analysis, tackling complex problems, and communicating results to stakeholders. The role requires a strong proficiency in data science tools and a collaborative approach to problem-solving.

The Data Scientist will leverage AI and machine learning to automate business processes and enhance customer experience by improving workflows, integrating data, and building predictive models. Responsibilities include designing automation solutions, monitoring performance, and collaborating with cross-functional teams.

As a Data Scientist at Broadridge, you will design analytical workflows, apply advanced analytics like machine learning, collaborate with teams to derive insights, and produce reports for stakeholders, while keeping up with emerging technologies.

The Data Scientist will lead the evaluation of Generative AI models, work on various business use cases involving text, image, and video analysis, and contribute to system packaging for production deployment. Responsibilities include designing GenAI solutions, maintaining existing models, collaborating on optimization projects, and providing training for organizational capabilities.

As a Data Scientist, you will analyze complex data from games, implement statistical and machine learning models, collaborate with engineers and developers, conduct experiments for game development decisions, and optimize predictive models in production environments.

As a Sr. Data Scientist at Moderna, you will apply advanced data analysis and machine learning techniques to solve complex problems in manufacturing and clinical trials. Your role includes leading AI initiatives, mentoring junior members, and ensuring the ethical use of AI while collaborating with cross-functional teams to enhance efficiency in R&D processes.