Data Scientist, Parameta Solutions (Madrid)
Core
Design, develop, and deploy scalable data products and Generative AI solutions to transform complex financial data into actionable insights for market participants.
Role type
Senior Data Scientist (Generative AI & Financial Analytics)
Builds
Scalable data science solutions, interactive dashboards, and AI-powered analytical platforms for OTC data and risk management.
Domain
Financial Services / Data & Analytics
Deliverable
production ML models
Required skills
Python (production-grade), Generative AI / LLMs, SQL (large-scale), AWS cloud services, Snowflake, Airflow, Docker, CI/CD, Object-Oriented Programming
Preferred skills
MLOps practices, customer-facing analytics/recommendation engines, Agile product environments
Technologies
Python, AWS, Snowflake, Airflow, Docker
Responsibilities
Design and maintain Python applications for financial data analysis and automation; Build scalable solutions extracting insights from complex datasets; Develop interactive dashboards and visualization tools; Enhance data quality frameworks and analytical platforms; Collaborate with Data Engineering and Product teams on data product scalability; Apply software engineering best practices (modular design, testing, version control); Evaluate emerging AI/ML technologies to improve client outcomes.
Seniority
Professional / 5 (Mid-Senior IC)
