Farmtech

Data Scientist

• Support the manipulation and analysis of structured and unstructured datasets;
• Support the creation, updating, and maintenance of management reports and dashboards;
• Assist in generating business insights from data analyses;
• Support basic statistical studies to identify patterns, trends, and deviations;
• Assist with simple backtests, validations, and monitoring of metrics, models, or segmentations;
• Support parameter testing and exploratory data analyses;
• Contribute to organizing, documenting, and clarifying internal data-related processes;
• Support automation and standardization initiatives for data collection and analysis routines;
• Collaborate with partner teams (credit, product, technology, and business).

Junior Data Scientist

Data Engineer

• Work on the development, maintenance and evolution of scalable, reliable data solutions
• Design, develop and maintain efficient, scalable and reliable data pipelines
• Automate extraction, transformation and load (ETL/ELT) routines in cloud environments
• Implement solutions for integrating data from multiple sources, including structured and unstructured data
• Develop and maintain data APIs and services for consumption by internal and external applications
• Ensure data quality, governance, security and integrity at all stages of the data flow
• Work on relational and non-relational data modeling to support analytical and operational use cases
• Document architectures, pipelines, processes and data models clearly, consistently and in a reusable manner
• Collaborate with Data Science, Software Engineering teams and business stakeholders
• Support continuous improvement of data processes, performance and cloud cost optimization

Junior Data Scientist

Mid-Level Data Engineer – Solutions Development