There is a strong and immediate demand for Data Science in ALL industries, but a limited supply of qualified data science talent, and a fuzzy understanding of how data science actually works. It’s 'black magic' that companies are paying a ridiculous premium for today (see here, here and here). In a noisy job market, how do you build your own AI / ML / data science team?
Data Scientist background - qualifications and education
But are data scientists really all PhD's? I asked a leading artificial intelligence consulting firm:
"The ideal data scientists has:
Data Scientist – the role
What’s a Data Science Team Look Like?
A project can be experimental or it can be to rollout commercialization. Either way it often includes work such as feature engineering, modeling/training, ETL (collecting, preparing and cleaning the data), algorithm development and execution, API development, App development, Measurement, Product and Project management work, etc.
Although some data scientists do everything end-to-end, the more popular pattern is to have the data scientist work in a multi-disciplinary team with:
The "Chief Data Scientist" persona
Data Science Talent Wars
Outsourcing Data Science
What are the hot AI skills?
Data science - right now this is the big one, it's finding people who are strong in math and stats with experience developing or managing software. These guys are interpreting Big Data and writing programs to get insights from Big Data. Data science jobs pay well ($80k - $200k) depending on geography and seniority of the position.
Where the demand is for a recruiter:
Machine Learning - this is a level up from data science, it's not just analyzing data but it's writing programs that let the computer analyze data by itself and learn to solve problems on its own. This is getting into real AI.
The same demand exists as for data science, but at this point even entry level with a strong background or education in machine learning is in demand.
Data modelling, Data mining, Data warehousing - these are peripheral AI skills that are in demand. Some of these have been around for a long time and just seeing a surge in demand lately because of the AI rush. It's like when IoT got big a few years ago, suddenly anyone who knew old school C programming had new job opportunities, or when old Cobol programmers were suddenly in demand again to fix Y2K bugs.
For more, here is a really thorough article on all the AI skills in demand.
Noisy job market and "fake" data scientists
One thing for sure, there is a ton of noise in the space:
AI-specialized recruiting companies that I found that seem to be having success: