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!

Product Applications & Controls R&D > Modelling & Analytics Module > Plant Monitoring & Reliability

Plant Monitoring & Reliability Sub Module, within Modelling & Analytics Module, Part of Vestas Power Solutions, is responsible for the products and services related to Vestas Monitoring and Reliability solutions and offerings.

We have a solid and diverse team with global presence, that consists of highly skilled Health/Condition Monitoring & Reliability Engineers/Specialists, Statisticians, Data engineers & Data Scientists. The department is responsible for developing world class Plant Monitoring Products & Solutions that includes Health/Condition Monitoring, Power Quality Monitoring, Reliability, Failure Predictors & CMS data Products. This is enabled through real-time data collection from thousands of power plants with CMS systems, IoTs on Health Monitoring & Reliability setup supporting multiple data applications, data products, diagnostics, monitoring solutions for our internal & external customers. The end goal is to bring down the cost of energy by leveraging the vast amount of data that Vestas collects and stores from power plants around the globe. The team is characterized by Vestas values: Accountability, Collaboration, Simplicity and Passion which form the backbone for our culture of striving for world class.

Vestas Modelling & Analytics is on a journey of transitioning into a Cloud based data platform for Plant & Reliability data. You will be one of the core Data Scientist, responsible for Develop and deliver Data science Models and Data products to enhance Turbine component performance across Vestas value chain. The primary scope of work will be sourcing, analyzing, building models using data collected from distributed on-premises & Cloud data systems to predict product performance using data science, ML, AI methodologies.

Responsibilities

• Work with large data sets to solve complicated data analysis problems using statistical and ML approaches
• Design and implement mathematical & predictive models, leveraging ML & Deep learning approaches, data regression, along with 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 and support implementation of ETL (Extract, Transform, Load) data pipelines

Qualification

• Minimum of 10-12 years' Relevant experience with bachelor's or master's degree or Doctorate (PhD) in STEM (Science, Technology, Engineering, and Mathematics)
• With 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 of models
• Solid Experience with mathematical & statistical modeling, Cloud environment, APIs, Kubernetes along with expert level program coding with Python, SQL and R

Competencies

• Must have Python, Snowflake, Snowpark, Azure cloud Services & 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
• Expertise in Data science, ML & AI technologies along with Azure Cloud services

What We Offer

We offer you the opportunity to make a difference and to work in a multicultural and international company, where you have the possibility to improve your skills and develop professionally.

Additional Information

Your primary location will be in Chennai.

Please note: We do amend or withdraw our jobs and reserve the right to do so at any time, including prior to the advertised closing date. Please be advised to apply on or before 20th November 2024

BEWARE – RECRUITMENT FRAUD
It has come to our attention that there are a number of fraudulent emails from people pretending to work for Vestas. Read more via this link, https://www.vestas.com/en/careers/our-recruitment-process

DEIB Statement
At Vestas, we recognize the value of diversity, equity, and inclusion in driving innovation and success. We strongly encourage individuals from all backgrounds to apply, particularly those who may hesitate due to their identity or feel they do not meet every criterion. As our CEO states, "Expertise and talent come in many forms, and a diverse workforce enhances our ability to think differently and solve the complex challenges of our industry". Your unique perspective is what will help us powering the solution for a sustainable, green energy future.

About Vestas
Vestas is the energy industry’s global partner on sustainable energy solutions. We are specialised in designing, manufacturing, installing, and servicing wind turbines, both onshore and offshore. 
Across the globe, we have installed more wind power than anyone else. We consider ourselves pioneers within the industry, as we continuously aim to design new solutions and technologies to create a more sustainable future for all of us. With more than 173 GW of wind power installed worldwide and 40+ years of experience in wind energy, we have an unmatched track record demonstrating our expertise within the field. 
With 29,000 employees globally, we are a diverse team united by a common goal: to power the solution – today, tomorrow, and far into the future. 
Vestas promotes a diverse workforce which embraces all social identities and is free of any discrimination. We commit to create and sustain an environment that acknowledges and harvests different experiences, skills, and perspectives. We also aim to give everyone equal access to opportunity. 
To learn more about our company and life at Vestas, we invite you to visit our website at www.vestas.com and follow us on our social media channels. We also encourage you to join our Talent Universe to receive notifications on new and relevant postings.