Data Scientist

at  Vestas

VESTAS TECHNOLOGY & OPERATIONS > RESEARCH & DEVELOPMENT (R&D) > PLANT DESIGN & RISK MODELLING

Modelling & Analytics is anchored in Vestas R&D. Vestas R&D is where new product ideas and technologies are developed, matured, tested, and improved. To put it in short, Vestas R&D is the cornerstone of Vestas - we are shaping the future of modern energy.
Modelling & Analytics consists of highly skilled, international, highly experienced, cross-discipline employees located across Portugal, Denmark and India, where data gets transformed and utilized to bring insights into various value streams in Vestas.
We encourage a culture based on accountability and give employees the chance to create meaningful, real-world impact through their work. We also cultivate employee performance and growth by providing an inclusive, motivating environment with collaboration at its core. You will experience a team of great diversity both within competencies, experience, gender, and nationality.

QUALIFICATIONS

• BSc. or MSc. in engineering, statistics, mathematics, computer science, or a related field
• Experience with data and statistical analysis
• Expertise in wind energy, wind farm modeling and optimization
• Proficiency in Python/R, with experience in SQL and cloud platforms like MS Azure (knowledge of Databricks and Dataiku Data Science Studio is a plus)
• Familiarity with data mining, data engineering, and data visualization tools. Experience with R Shiny or other frontend visualization tools is advantageous

• Take ownership of a designated area of the project, ensuring clarity in objectives and driving results with a proactive, self-directed approach. Autonomy is essential, but contributions must remain aligned with the overarching goals of the project and organization
• Collaborate effectively with team members to maintain open communication and ensure alignment across the team. Your role will require a balance of independent decision-making and active teamwork, with a strong sense of accountability for your assigned outcomes
• Embrace a mindset of continuous improvement and learning. Be open to experimentation, adapt to changing requirements, and apply feedback loops to refine your approach, ensuring that your work evolves with the needs of the project
• Contribute to the development of models and tools for validating wind turbine and wind farm solutions, leveraging data-driven insights to enhance efficiency, accuracy, and innovation
• Prioritize high standards in development work, demonstrating initiative and commitment to delivering results that meet or exceed expectations
• Collaborate with internal stakeholders to ensure solutions are aligned with business requirements, while remaining adaptable to evolving demands and challenges