Machine Learning Engineer

Responsibilities

• check_circle Design, develop, test, deploy, maintain and enhance data science solutions using software engineering best practices
• check_circle Study and convert data science prototypes to production quality DS/ML Solution
• check_circle Implement machine learning solutions at a large scale, in on-premises or cloud-based environments
• check_circle Create and improve methods and tools and contribute to best practices in the area of Data Science
• check_circle Foster ML related knowledge exchange within NIQ, especially around code quality and engineering best practices related knowledge exchange within NIQ
• check_circle Present NIQ’s MLE / DS expertise at conferences and workshops

Basic qualifications

• Master or Bachelor degree that reflects computer science / engineering and statistical / mathematical skills
• Typically 2+ years of work experience
• Solid experience with production-level code quality metrics and working closely with software and testing engineers
• Expert skills in Python and the respective statistical ecosystem
• Solid statistical skills:
• either in survey statistics (sampling, non-response adjustments, Bayesian statistics),
• or econometric modelling (program evaluation, forecasting, economic theory, panel data),
• or observational causal inference (potential outcomes, structural equation models, instrumental variables)
• or experimental design
• Experience working with docker

Benefits

• check_circle Flexible working environment
• check_circle Volunteer time off
• check_circle LinkedIn Learning
• check_circle Employee-Assistance-Program (EAP)

About the company