Technical Lead, Data Scientist
Landis+Gyr
full-time
Posted on:
Location Type: Hybrid
Location: Noida • India
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Job Level
About the role
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningpredictive modelingstatistical analysisdata explorationfeature engineeringdeep learningdata analysisMLOpsdata engineeringtest automation
Soft Skills
collaborationproject managementinitiativecommunicationproblem-solving