Basic Qualifications:
Independent self-starter, able to do work without oversight
- Experience in Applied Modelling from varying domain knowledge.
- Hands on experience using Python and relevant libraries (Sklearn, numpy, pandas, tensorflow, etc.)
- Experience in machine learning and statistical learning frameworks such as: classification, regression, time series, forecasting, collaborative filtering, clustering, feature engineering, natural language processing, etc.
- Demonstrable understanding and experience in data structure, data mining and data analysis techniques with real world data.
Preferred Qualifications:
- Industry experience in applied modelling and analytical problem solving.
- Industry experience with Streaming and Big Data analytical modelling.
- Experience in cloud programming.
- Demonstrable communication and storytelling techniques to drive influence across non-technical audiences.