The role involves driving end-to-end model development initiatives to translate complex business problems into scalable machine learning solutions
Job Summary
The role involves driving end-to-end model development initiatives to translate complex business problems into scalable machine learning solutions.
Candidates will analyze customer data for correctness and quality while building reusable ML use case templates for the Global Services cloud practice.
AVEVA offers a comprehensive benefits package including childcare support, education assistance, and home office setup support for hybrid roles.
Matching Summary
The role involves driving end-to-end model development initiatives to translate complex business problems into scalable machine learning solutions.
Skills & Requirements
Must-have
8-12 years Data Science experience
Strong Python programming expertise
End-to-end ML lifecycle management
Feature engineering pipeline design
Supervised and unsupervised learning
Nice-to-have
Deep learning framework experience
Cloud platform exposure (AWS/Azure/GCP)
Time series or NLP modeling skills
Oil & Gas or Utilities industry background
Data Bricks tool familiarity
Key Requirements
8-12+ years in Data Science / Machine Learning
Strong foundation in statistics and mathematics
Experience with classification, regression, clustering, and forecasting models