Principal Data Science Engineer at Qodea leading development of AI - driven reasoning tools and recommendation systems. Collaborating to bridge advanced analytics with practical implementation in Buenos Aires.
About the role
- Lead Weather-to-Power Data Scientist improving short-term trading performance at Ørsted. Develop and maintain forecasting models in collaboration with traders, quants, and IT.
Responsibilities
- leading and developing our in-house short-term weather-to-power setup for forecasting wind generation
- collaborating on projects to improve our data structure, speed and ML/AI initiatives to choose the right methods, tools and level of complexity to reach business objectives
- ensuring reliable, on-time forecast delivery across markets, performance monitoring and incident handling to safeguard quality and performance
- turning data into action by developing impactful analytics and visualization tools and creating evaluation frameworks to measure forecast quality and trading outcomes
- working in close collaboration with forecast vendors, traders and other stakeholders to extract maximum value from forecast and asset portfolio information.
Requirements
- have bachelor’s degree or higher in mathematics, physics, meteorology, or a related field
- have minimum 3-5 years’ experience in a quantitative role, ideally in weather modelling, renewable generation forecasting and short-term trading
- have ability to drive performance improvements and innovation in fast-moving, time-sensitive environment
- have experience using Python and modern data tools to build (Pandas , Scipy, etc.), validate, and operationalize (CI/CD, Kubernetes, advanced ML) forecasting models on large weather and energy time‑series datasets, working with cloud-based and production-grade data platforms (Azure/AWS).
- have strong communication skills, able to explain complex problems clearly, analyse issues and provide comprehensive and actionable solutions.
- are fluent in English.
Benefits
- Flexible work arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Lead Data Scientist at Target developing predictive and prescriptive algorithms for supply chain optimization. Collaborating across teams to foster data - driven decision - making while ensuring continuous innovation.
Data Scientist working with data analytics to drive efficiency improvements in the energy sector. Collaborate with teams to build and deploy models for actionable insights.
Senior Data Scientist at Betclic developing data products and user experiences in an innovative gaming environment. Collaborating across teams to drive data - driven decisions and product improvements.
Senior Data Science Engineer developing and maintaining machine learning models for fintech company. Collaborating with cross - functional teams to drive product improvements and user insights.
Senior Data Scientist in a Legal AI company focusing on ML operations analytics, collaborating with teams for effective legal outcomes.
Senior Manager of Data Analytics leading high - impact analytics projects for business strategy at Conduent. Overseeing teams to develop data models and present insights to leadership.
Team Lead for Data Science at PAIR Finance focusing on machine learning product development. Leading a team to innovate in debt collection with AI - driven insights.
High - impact Data Scientist driving complex data projects leveraging AI tools at dLocal, influencing strategic decisions in payments sector.
Senior Data Scientist developing machine learning models to improve Ford's manufacturing processes. Collaborate with cross - functional teams to create scalable solutions in smart factories.