Develop machine learning solutions for complex business and product problems using statistical and computational techniques.
Build predictive models and evaluate their performance using appropriate validation and experimentation methods.
Work with structured and unstructured data to develop features, models and analytical pipelines.
Apply techniques from natural language processing, computer vision or pattern recognition where relevant.
Collaborate with data scientists, software engineers and product teams to move models into production.
Investigate model performance, data quality and production issues and implement improvements.
Contribute to technical research, experimentation and evaluation of emerging machine learning approaches.
Document methodologies, findings and production considerations while maintaining high engineering standards.
Develop machine learning solutions for complex business and product problems using statistical and computational techniques.
Employer opportunity.