Company Profile:

Vestas is the world leader in wind technology and a driving-force in the development of the wind power industry. Vestas’ core business comprises the development, manufacture, sale, marketing, and maintenance of Wind Turbines. Come and join us at Vestas! We have a comprehensive and diverse team with global presence, that consists of highly skilled Health/Condition Monitoring & Reliability Engineers/Specialists, Statisticians, Data engineers & Data Scientists. Vestas Modelling & Analytics is on a journey of transitioning into a Cloud based data platform for Plant & Reliability data. You will be the core Data Scientist, responsible for development and implementation of this transition, and become part of design of modern data product offerings for Reliability area. The primary scope of work will be sourcing of data from distributed on-premise data systems to develop and predict product performance through data science methodologies

Job description:

Responsibilities

Work with large data sets to solve complicated data analysis problems using statistical and machine learning approaches

Design and implement able to scale mathematical & predictive models, classifiers leveraging machine learning, data regression

Development of API, Kubernetes and integration of different modules in Cloud Azure environment

Manage & Coordinate with data architecture for selecting the platform and developing the application to finally testing and implementing solution

Design and support database and table schemas for new and existent data sources, proof of concepts, algorithms and custom analysis

Translate business needs into technical data designs Design and implement implementation of ETL (Extract, Transform, Load) data pipelines

 

Qualifications

Minimum of 5-7 years' Relevant experience with Bachelors' or Masters' degree in STEM (Science, Technology, Engineering, and Mathematics)

Work experience where data science, data engineering and application development was a major part of your work in automating software deployments and following a continuous delivery and deployment model

Experience with mathematical & statistical modeling, Cloud environment, APIs, Kubernetes

Solid experience in program coding with Python, SQL, .NET, C# or R

 

Competencies

Must have Python, Snowflake, Snowpark, Unity Catalog, Azure cloud & DevOps, SQL, CI/CD, Cloud infrastructure deployment

Good to have : Databricks, Spark, Pandas, Data factory, Data/Delta Lake, git, testing

To build database-powered applications, data models and proficiency with ETL tools, MS SQL, SSIS, SSAS (MDX/DAX)

JIRA or similar tools

Experience with Cloud platform (SNOWFLAKE) & Knowledge of Kafka, C#, Kubernetes

Experience in data science, machine learning or artificial intelligence technologies