The person is the middle is often the most important one. When it comes to data science, the person who takes the data provided by the big data analyst and then gives the output of refined data to the business analyst is often the data science team MVP.
As modeling experts play the role of a link between the data analyst and the business analysts.They have to know both the business and the data and then also know which type of analytics to apply.
Modeling experts are primarily responsible for building data models and developing algorithms to draw conclusive information. Their job is to ensure that the derived information is well researched, accurate, easy to understand and unbiased.
Ideal Candidates with statistical background, having a deep interest in quantitative topics, and are usually preferred for the role of machine learning experts. The ideal professional must have a solid understanding of data algorithms and data structures in specific, and software engineering concepts in general.
Knowledge and experience with not only descriptive analytics, but also both predictive and prescriptive analytics is a plus.
- Descriptive Analytics looks at the past to explain the present.
- Predictive Analytics uses past data to model potential futures.
- Prescriptive Analytics use past data to direct variable present and future options.
If you know someone looking to join the DMAI Data Science team to help businesses and schools around the Philippines set-up and/or build out data science capabilities then please tell them about this post.