Vacancy expired!
- Track record of diving into data to Client hidden patterns
- Track record of building Client or DL models in a production environment
- Maintain and look to improve our Machine Learning Deployment Pipeline.
- Collecting, cleansing and parsing data
- Integrating disparate data sets held in a number of repositories
- Creating machine learning and statistical models
- Develop and maintain databases by acquiring data from primary and secondary sources and build scripts (eg. R or Python) that will make data evaluation processes more flexible/scalable across data sets
- Ability to produce statistical analyses using a range of statistical analysis software (eg. R, Python, etc)
- Good grasp of classical statistical methods, such as fitting regression models, inference testing and sampling
- 4+ years of industry experience in predictive modeling, data science and analysis
- 2+ years' experience using Python and/or R
- 2+ years' experience with handling and manipulating large data sets
- Familiarity with using data visualization tools
- Excellent written and verbal communication skills
- Strong programming skills in at least one of the following: Python, R, Java, C/C