Top Data Science Jobs in Poland
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.
In this role, you will join the Logistics Development Team to develop logistics data models, contribute to Logistics Excellence Projects, and enhance forecasting capabilities. You will analyze complex data, build performance boards and KPIs, and support the team with data-related tasks while collaborating with Supply Chain teams.
The Data Engineer will design, develop, and maintain data pipelines while collaborating with product managers and teams to ensure data quality and readiness for analytical systems. Duties include implementing data schemas, optimizing data systems, and ensuring data privacy and compliance across projects.
The Data Scientist Manager at U.S. Bank will lead a team responsible for monitoring the performance of predictive models used in Credit Risk Management. Key responsibilities include overseeing model monitoring processes, validating outputs, automating data capture, and mentoring team members.
The Principal Data Science Engineer at Sabre will utilize statistical analysis and machine learning techniques to optimize revenue performance and customer experience in the airline industry. Responsibilities include developing data models, algorithms, and forecasting techniques, collaborating with software engineers, and monitoring data accuracy and model performance. Required qualifications include an advanced degree in quantitative disciplines and proven analytical skills.
Participants in the GSK Digital & Tech STEM Graduate Programme will receive training in various tech-related fields while delivering impact in areas like Global Supply Chain and Research & Development. The programme is designed for graduates keen on developing skills in data and tech management related to pharmaceuticals and vaccines.
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.
The Junior Data Science Consultant will analyze customer data, perform exploratory data analysis, and evaluate models with guidance from senior peers. The role requires proficiency in SQL and Python, along with the ability to communicate findings to customers and work within an agile team environment.
As a Data Scientist, you will create data-driven solutions for business challenges in areas like user behavior modeling and logistics. Your role involves handling diverse data types, using advanced modeling techniques, and mentoring junior data scientists while collaborating with various teams.
Looking for an experienced Manager to coordinate a team with various data roles (Data Analyst/Product Analyst/Data Scientist) shaping Ads products at Allegro. Responsibilities include cooperation in the implementation of the Technology/Product strategy and creation of analytical road-maps.
As a Manager, you will coordinate a team of data professionals involved in shaping Ads products. Responsibilities include implementing technology strategy, creating analytical road-maps, and collaborating with stakeholders to derive insights and solutions.
The Data Science Analyst role involves assessing the value of ML projects, analyzing the ML pipeline, and mining data to validate hypotheses. Responsibilities include designing experiments for ML, developing methodologies, and working with data visualization tools. Technical skills in Python and SQL are essential for this position.
The Data Science Analyst role involves working within the Data Analytics team to assess the incremental value of machine learning projects, analyze the entire ML pipeline, design experiments such as A/B tests, and enhance methodologies in an internal Python library. Candidates should have strong analytical skills, practical knowledge of Python and SQL, and be comfortable working with data visualization tools and statistical concepts.
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.
As a Data Science Consultant, you will analyze data, perform exploratory data analysis, and conduct model evaluations. You will work within an agile team, communicate with customers, and develop data-driven narratives, leveraging skills in SQL and Python.
As a Junior Data Science Consultant, you will perform data analysis, handle data techniques, conduct exploratory data analysis, and evaluate models. You will collaborate with an agile team, present findings to customers, and learn from experienced colleagues, focusing on customer requests and solutions with guidance.
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.
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 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.
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