Top Data Science Jobs in Warsaw

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.

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 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.

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.

The Workforce Data Science Specialist will develop workforce analytics solutions using statistical and machine learning techniques to analyze data. Responsibilities include creating predictive models, solving business problems through data insights, and effectively communicating findings to HR and business leaders.

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.

Design solutions, research and analyze data, develop data science solutions, create ML metrics, mentor team members, suggest improvements, work on machine learning algorithms

The Senior Data Scientist will support media measurement projects across multiple regions, conducting data quality control, complex analyses, and methodology improvements. They will collaborate with stakeholders, automate data procedures, and present research findings to clients, ensuring high data quality and operational efficiency.

The Senior/Lead Data Scientist will build and scale an experimentation platform, focusing on creating data pipelines and implementing statistical methods for A/B testing analysis. The role involves collaboration with the Experimentation and DevOps teams to enhance performance, develop statistical engines, and support technical implementations of experiments while ensuring data integrity and scalability.

The Data Scientist in the Location Intelligence team will lead data management, automation, and geospatial analytics tasks, leveraging advanced statistical methods and machine learning. Responsibilities include creating complex data models, predicting delivery times, and collaborating with engineers and stakeholders.

The Data Scientist will analyze business problems and create value through analytical models. Responsibilities include data preprocessing, building statistical models, developing machine learning algorithms, and documenting models for engineer use.

As a Senior Data Scientist, you will build data models, dashboards, and reports to provide insights for mobile subscription developers, driving data-informed decisions and enhancing user experience. You will collaborate with teams to improve data pipelines and develop predictive models, ultimately launching new features to benefit customers.

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.

The Senior Data Scientist will analyze data to produce actionable insights and recommendations, using SQL, Python, and R. Responsibilities include building experiments, validating findings with statistical techniques, collaborating with cross-functional teams, and mentoring other team members.

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.

As a Data Scientist, you will analyze large datasets to extract insights, build machine learning models, and support data-driven decision-making across the organization. Key responsibilities include data analysis, predictive modeling, problem-solving, data visualization, and collaboration with cross-functional teams to optimize business outcomes.