... methodologies, model performance and limitations to support responsible use of data science solutions] Requirements: Python, pandas, NumPy, Statsmodels, Machine learning, Data mining, Data scraping, scikit-learn, SciPy, Azure, Palantir Foundry, PySpark, SQL, XGBoost, Data visualization, Git, Docker Tools: Jira, Agile, Scrum. Additionally: ...
... track to reach €1 billion in revenuethis year. Our Core Areas of Expertise Data & Technologies: We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI. Cloud & Application Services: We integrate leading platforms ...
... track to reach €1 billion in revenuethis year. Our Core Areas of Expertise Data & Technologies: We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI. Cloud & Application Services: We integrate leading platforms ...
... track to reach €1 billion in revenue this year. Our Core Areas of Expertise Data & Technologies: We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI. Cloud & Application Services: We integrate leading platforms ...
... maintaining data pipelines using ETL and/or ELT approaches, with the ability to reason about trade-offs rather than defaulting to a single pattern understanding of data pipeline reliability concepts, including idempotency, backfills, and handling late or corrected data ability to structure data systems into clear layers (e.g. ...
... track to reach €1 billion in revenue this year. Our Core Areas of Expertise Data & Technologies: We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI. Cloud & Application Services: We integrate leading platforms ...
... overall platform design, ensuring reliability, low latency, and smooth integration with product features. Requirements Must-haves: 7+ years of experience in Data Science designing robust end-to-end data workflows. At least 4 years of specific experience in forecasting techniques. Expert level in Python, Docker and cloud ...
... (on-prem & cloud), SAP Datasphere, and SAP Analytics Cloud (analytics & planning). - Experience with data integration patterns, ETL/ELT, semantic layers, master data management, and data governance. - Working knowledge of Databricks, Data Lake architectures and modern data stacks is a strong plus. - Experience with SAP Business ...
... track to reach €1 billion in revenuethis year. Our Core Areas of Expertise Data & Technologies: We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI. Cloud & Application Services: We integrate leading platforms ...
... Python Data Engineer – Market Microstructure Analytics Location & Work Model: Wrocław-based opportunity with on-site work (full-time) Introduction: As a Python Data Engineer, you will be working at the intersection of trading infrastructure and market microstructure. You will focus on developing robust data pipelines, analytical ...
... - Copy and paste the URL below into a new tab on your web browser to view the Remuneration Regulations extract: Job Family Group: Data Governance Job Family: Data Governance Foundation Time Type: Full time Primary Location Full Time Salary Range: 151920,00zł - 258680,00zł Most Relevant Skills Data Governance, Data Management, ...
... meet business objectives and user expectations. - Drive continuous improvement of ERM platforms, identifying opportunities to improve functionality, efficiency, data quality, and user experience. - Coordinate with technology teams, architects, and delivery partners to support successful solution design, development, testing, ...
... track to reach €1 billion in revenuethis year. Our Core Areas of Expertise Data & Technologies: We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI. Cloud & Application Services: We integrate leading platforms ...
... ASAP Project scope: Build and optimize modern data platforms on Azure and Databricks Design, develop, and maintain scalable data pipelines Build and optimize data lakehouse solutions supporting analytics, reporting, and regulatory needs Implement data ingestion from multiple sources (databases, APIs, files, messaging/ event ...
... transformation processes across Azure Data Lake and related services., Use Databricks, Delta Lake and Apache Spark to process, transform and manage large and complex datasets., Contribute to Microsoft Fabric solutions, including Lakehouse, Data Factory/Data Pipelines, notebooks and semantic data layers where appropriate., Apply ...
We are looking for a passionate Data Scientist who is eager to make an impact on their career and take on a new challenge! P&G Scaled Data Science Hub in Warsaw is dynamically growing and making impact across most key algorithmic investments of the Company. We work across problems and algorithmic products related to Retail, ...
... track to reach €1 billion in revenuethis year. Our Core Areas of Expertise Data & Technologies: We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI. Cloud & Application Services: We integrate leading platforms ...
... Responsibilities: - Create and maintain data quality rules focused on data completeness and accuracy. - Support the implementation of standard and customized data quality validations for new accounts. - Work with business stakeholders and operational teams to understand data quality requirements and resolve identified issues. ...
... transformation processes across Azure Data Lake and related services., Use Databricks, Delta Lake and Apache Spark to process, transform and manage large and complex datasets., Contribute to Microsoft Fabric solutions, including Lakehouse, Data Factory/Data Pipelines, notebooks and semantic data layers where appropriate., Apply ...
... Responsibilities: Architect the Metadata Strategy: Define and lead the evolution of our Active Metadata framework within our Data Lakehouse platform. Enhance Data Discoverability: Design and implement patterns that make data easily searchable and understandable across the enterprise, utilizing tools like Databricks Genie ...