Technical Lead developing advanced analytics solutions for utility customers. Focusing on machine learning solutions with Google Cloud Platform in a collaborative team environment.
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 and feature engineering to model development and evaluation, to deliver business insights.
Responsible for advanced statistical analysis, machine learning, and predictive modeling.
Develop data driven analytical use cases in cooperation with other team members - build Machine Learning models that can be used for network grid asset health and grid operations.
Work with Agile and DevOps techniques and implementation approaches in the delivery of ML projects.
Liaise and be part of our Google Cloud practice, contributing in the knowledge exchange learning programme of the platform.
Requirements
Experience in Google Cloud will be a plus, preferably using BigQuery or similar data warehouses as well as BigQuery ML and Kubeflow Pipelines or Vertex AI to run ML models.
Programming experience with either SAS/R/Scala or Python.
Experience with advanced data analysis, statistical and machine learning modeling techniques.
Experience with data science and machine learning projects with ability to implement deep learning models.
Ability to initiate and drive analytics projects from inception to delivery, knowledge of MLOps and workflows to deliver and deploy ML operational solutions.
E2E Data Engineering and Lifecycle (including non-functional requirements and operations management) is a plus.
Experience working with CI/CD pipelines and test automation will be a plus.
Experience with utility time series data and forecasting will be a plus.
Benefits
Competitive salary and region-specific benefits.
Comprehensive development programs including mentorship and training.
A global culture that values collaboration, innovation, and continuous learning.
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