Technical Lead, Data Scientist

Job Description

Role Overview:At LandisGyr, you will be part of a global team shaping the digital energy era, developing innovative technologies to support decarbonization, grid modernization, and real-time energy insights. As a member of the machine learning practice, you will focus on developing and delivering advanced analytics solutions using Google Cloud Platform, with a strong emphasis on extracting actionable insights from complex datasets for utility customers.Key Responsibilities:- Design and implement modern, robust scalable ML solutions using a range of new and emerging technologies from Google Cloud Platform- Define and support the research and analytical process with the entire data science workflow, from data exploration to model development, to deliver business insights- Conduct advanced statistical analysis, machine learning, and predictive modeling- Develop data-driven analytical use cases, particularly focusing on Machine Learning models for network grid asset health and grid operations- Work with Agile and DevOps techniques in the delivery of ML projects- Liaise and contribute to the knowledge exchange learning program of Google Cloud practiceQualifications Required:- Experience in Google Cloud will be a plus, with proficiency in BigQuery, BigQuery ML, and Kubeflow Pipelines or Vertex AI- Strong programming experience in SAS, R, Scala, or Python- Proficiency in advanced data analysis, statistical and machine learning modeling techniques- Ability to drive analytics projects from inception to delivery, with knowledge of MLOps and workflows- Experience with E2E Data Engineering and Lifecycle, CI/CD pipelines, test automation, and utility time series data and forecasting- Relevant tertiary qualification in B.E, B.Tech, M.E, M.Tech, with educational background in Data Science/ML- 7 to 10 years of experience in the fieldCompany Details:At LandisGyr, you will be part of a mission-driven company shaping a more sustainable energy future. The company offers a competitive salary, comprehensive development programs, and a global culture that values collaboration, innovation, and continuous learning. Join the team and contribute to creating a smarter, greener tomorrow.Note: The additional details of the company were not explicitly mentioned in the provided job description. Role Overview:At LandisGyr, you will be part of a global team shaping the digital energy era, developing innovative technologies to support decarbonization, grid modernization, and real-time energy insights. As a member of the machine learning practice, you will focus on developing and delivering advanced analytics solutions using Google Cloud Platform, with a strong emphasis on extracting actionable insights from complex datasets for utility customers.Key Responsibilities:- Design and implement modern, robust scalable ML solutions using a range of new and emerging technologies from Google Cloud Platform- Define and support the research and analytical process with the entire data science workflow, from data exploration to model development, to deliver business insights- Conduct advanced statistical analysis, machine learning, and predictive modeling- Develop data-driven analytical use cases, particularly focusing on Machine Learning models for network grid asset health and grid operations- Work with Agile and DevOps techniques in the delivery of ML projects- Liaise and contribute to the knowledge exchange learning program of Google Cloud practiceQualifications Required:- Experience in Google Cloud will be a plus, with proficiency in BigQuery, BigQuery ML, and Kubeflow Pipelines or Vertex AI- Strong programming experience in SAS, R, Scala, or Python- Proficiency in advanced data analysis, statistical and machine learning modeling techniques- Ability to drive analytics projects from inception to delivery, with knowledge of MLOps and workflows- Experience with E2E Data Engineering and Lifecycle, CI/CD pipelines, test automation, and utility time series data and forecasting- Relevant tertiary qualification in B.E, B.Tech, M.E, M.Tech, with educational background in Data Science/ML- 7 to 10 years of experience in the fieldCompany Details:At LandisGyr, you will be part of a mission-driven company shaping a more sustainable energy future. The company offers a competitive salary, comprehensive development programs, and a global culture that values collaboration, innovation, and continuous learning. Join the team and contribute to creating a smarter, greener tomorrow.Note: The additional details of the company were not explicitly mentioned in the provided job description.

Keyskills :
Google Cloud PlatformSASScalaPythonData AnalysisStatistical ModelingMachine LearningDeep LearningTest AutomationForecastingBigQueryKubeflow PipelinesVertex AIMLOpsCICD Pipelines