Data Scientist

2 weeks ago

Chennai, Tamil Nadu, India Vestas Full time
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 VestasApplications, Controls & Electrical >

Modelling & Analytics Module >


Plant Monitoring & ReliabilityPlant 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 comprehensive 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 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.

ResponsibilitiesWork with large data sets to solve complicated data analysis problems using statistical and machine learning approachesDesign and implement able to scale mathematical & predictive models, classifiers leveraging machine learning, data regressionDevelopment of API, Kubernetes and integration of different modules in Cloud Azure environmentManage & Coordinate with data architecture for selecting the platform and developing the application to finally testing and implementing solutionDesign and support database and table schemas for new and existent data sources, proof of concepts, algorithms and custom analysisTranslate business needs into technical data designs Design and implement implementation of ETL (Extract, Transform, Load) data pipelinesQualificationsMinimum 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 modelExperience with mathematical & statistical modeling, Cloud environment, APIs, KubernetesSolid experience in program coding with Python, SQL, .

NET, C# or RCompetenciesMust have Python, Snowflake, Snowpark, Unity Catalog, Azure cloud & DevOps, SQL, CI/CD, Cloud infrastructure deploymentGood to have :
Databricks, Spark, Pandas, Data factory, Data/Delta Lake, git, testingTo build database-powered applications, data models and proficiency with ETL tools, MS SQL, SSIS, SSAS (MDX/DAX)JIRA or similar toolsExperience with Cloud platform (SNOWFLAKE) & Knowledge of Kafka, C#, KubernetesExperience in data science, machine learning or artificial intelligence technologiesWhat We OfferWe 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 nd June 4.DEIB StatementAt 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.

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