Careers in data science and artificial intelligence are increasingly growing. They include, but are not limited to:
- Data Scientist
- Statistician/Statistics Officer
- Big Data Developer
- Data Analyst
- Machine Learning Engineer
These and similar career paths can be realized through the employment with businesses and organizations in a variety of industries, not limited to just the IT industry.
In this area, duties and responsibilities may include, but are not limited to the following:
- Perform statistical analyses and develop algorithms to be used in automated analysis
- Evaluating state-of-the-art statistical modelling and machine learning approaches using large amounts of historical data
- Design artificial neural networks that extract patterns from large-scale sequencing databases
- Perform data analysis, visualization, and modeling with large datasets
- Perform data acquisition, cleaning, and transformation
- Take analytical objectives and define data requirements
- Work with unstructured data from social media, video feeds, audio, or other sources to extract, clean, and transform customer and item-level statistical data for purposes analysis, modelling/segmentation, and reporting
- Implement advanced machine learning techniques and statistical and econometric models to pricing, assortment, and marketing mix
- Interpret, document, and present/communicate analytical results to multiple business disciplines, providing conclusions, and recommendations based on customer centric data
- Identify, develop, and make recommendations for process improvements and best practices
