Data Scientist, Parameta Solutions (Madrid)

Descripción del trabajoExperteer Overview In this role, you will design, develop and deploy scalable data products that convert complex financial data into actionable insights, supporting Parameta Solutions’ AI-driven analytics.You will work with cross-functional teams to build production-grade Python applications and Generative AI capabilities that drive commercial value.The role combines data engineering, analytics and cloud technologies to evolve a data-driven product suite in a fast-growing organization.This is a hands-on position at the intersection of finance, data science and AI, with a clear impact on decision-making and client outcomes.Compensaciones / Beneficios Design, develop and maintain Python-based applications for financial data analysis and automationBuild scalable data science solutions extracting insights from large datasetsCreate interactive dashboards and visualization tools for decision-makingImprove data applications, data quality frameworks and analytics platformsCollaborate with Data Engineers, Product Managers and commercial stakeholders to ensure scalable, reliable data productsApply software engineering best practices including code reviews, modular design and CI/CDDevelop Generative AI solutions to enhance internal processes and customer-facing productsUtilize AWS to build scalable AI/ML applications leveraging the AWS partnershipExplore emerging AI/ML technologies to improve products and client outcomesContribute to evolving Parameta Solutions’ data science capabilities and standardsResponsabilidades Master’s in Data Science, Mathematics, Computer Science, Engineering or another quantitative disciplineProven experience developing production-grade Python applications in data science or quantitative analyticsStrong software engineering fundamentals (OO design, modularity, version control)Experience building and deploying analytical/ML/AI solutions in a commercial settingAdvanced SQL skills for large-scale data querying/manipulationExperience with Snowflake, Airflow, Docker and CI/CD pipelinesExperience developing or integrating Generative AI/LLM/machine learning solutionsExperience with cloud architectures and AWSExcellent problem solving, analytical and communication skills for cross-functional work#J-*****-Ljbffr

capabilities and standardsResponsabilidades Master’s in Data Science, Mathematics, Computer Science, Engineering or another quantitative disciplineProven experience developing production-grade Python applications in data science or quantitative analyticsStrong software engineering fundamentals (OO design, modularity, version control)Experience building and deploying analytical/ML/AI solutions in a commercial settingAdvanced SQL skills for large-scale data querying/manipulationExperience with Snowflake, Airflow, Docker and CI/CD pipelinesExperience developing or integrating Generative AI/LLM/machine learning solutionsExperience with cloud architectures and AWSExcellent problem solving, analytical and communication skills for cross-functional work#J-*****-Ljbffr