We are a global information technology company that builds high-performance, security-centric solutions that can help change the world. Enhancing people's lives through secure, reliable advanced technology is our vision.
Our client, a prestigious European Institution, is looking for a Data Scientist to be present at the client offices in Seville and provide their expertise in data networks.
Utilize R and/or Python for data mining, data cleaning, data preparation, and data transformation.
Designed and implemented data integration pipelines for multi-source economic datasets
Built and maintained Oracle relational database
Apply text mining and machine learning algorithms to analyze and interpret complex data sets.
Develop and implement machine learning models and algorithms to solve specific business or research problems.
Conduct research to improve and innovate data processing techniques and analytical methods.
Stay updated with the latest advancements in data science and machine learning.
Work closely with cross-functional teams to understand data requirements and deliver actionable insights.
Collaborate with other researchers and data scientists to share knowledge and methodologies.
Maintain clear and comprehensive records of data sources, algorithms, and outcomes.
Experiment with and adopt new data processing languages and tools to enhance analysis capabilities.
Present findings in English, written and verbal, to non-technical stakeholders.
Utilize Spanish for communication as needed, leveraging it as an asset for the Seville-based role.
Master's degree or equivalent experience in a quantitative field in Economics.
At least 4 years of experience in quantitative analytics or data modelling
At least 3 years of experience in development with Python
Hands-on experience with SQL and Oracle (relational database)
Experience with ETL pipelines
Strong knowledge of data mining, cleaning, preparation, transformation, text mining, and machine learning algorithms.
Fluency in English is required.
Proficiency in Spanish is an asset.