What is a Data Scientist? – Definition of a Data scientist
Definition of a Data scientist – Wyatt partners Data analytics Perspectives
It would follow that a data scientist is someone who does that shouldn’t it? Well as with so many things in adult life and ironically totally at odds with the logical backgrounds of most data scientists, the answer is Yes & No
Yes, they should be able to do various aspects of that but Not necessarily all of it.
From a practical point of view for hiring managers or people wanting to enter the Sector what skills do you need to be a data scientist?
A numerate or Quantitative degree ideally also something that develops scientific critical reasoning. Exposure to data science techniques like machine learning, algorithm libraries and coding particularly in open source tools most likely in Python, SQL, Matlab & R – It’s important to note that Matlab rarely features in Commercial organisations.
Learning to clean and manage unstructured data is the most skill of a data scientist an exposure to this should be the focus of entrants to the market place.
To sum up the essence of a Data scientist
We are looking, Critical reasoning & curiosity are essential traits, interdisciplinary skills across Science, behavioural anaylsis, analytics, and Business
You will need specific experience in tools, concepts & mathematical models detailed below
Open Source Coding and experience of Statistical models now very much part of the data science toolbox, like Machine learning types of models we might expect a data scientist to be familiar with.
- Dimensionality Reduction.
- Ensemble Methods.
- Neural Nets and Deep Learning.
- Transfer Learning.
- Reinforcement Learning.
It is important to remember the Interdisciplinary element of Data science, Not all of the skills will be needed all of the time.
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