Who is a Full Stack Data Scientist and How Do You Become One In 2022?
2022 is here and Data Science still remains the sexiest and among the highest paying jobs.
In 2021 and years before that, Data Science saw a quick spike in growth, especially during the peak of the Covid 19 Pandemic, and many industries have jumped on the power of Data Science to draw the most value to their products.
Many industries hired more people with Data Science and Analytical skills more than any other in any department.
Not only did companies chased Data Scientist but many people also jumped on the trend of becoming a Data Scientist. Some changed their profession entirely from one domain to Data Science domain like, Evelyn who was a Marketing Manager(salary: $62,710) and now a Data Scientist(salary: $123,444).
People often ask me: is Data Science going to continue to be attractive in 2022 and the up coming years?
The answer is YES!!
Considering the recent innovations that Data Science through the help of Artificial Intelligence is creating in our society such as self-driving cars, robust product recommendation systems, virtual realities and remote tasking, etc. the need for more people to handle large amount of data will continue to be surging. More and more companies are leveraging their insights from their data to provide better customer service which in turn is spiking their profits.
Taking for instance, e-commerce platforms and market places such as ebay, amazon, meesho uses their recommendation engines to up sell other complimentary products to customers when they buy one item. These makes the companies sell more products and thereby increasing their profits.
Data Scientist who have the required skills to help companies drive the most out of their data highly in demand and are highly paid in companies. For example one of my students, Evans , who worked for an insurance company as a Data Scientist was paid twice higher than his supervisor. Weird right? I couldn’t believe it at first too. But think about it, Evans working as a Data Scientist was mostly what brings in 80% of the profit the company makes, so why won’t they pay him higher? The supervisor is there to see the progress Evans is making, apart from that what?
Although the field of Data Science is very lucrative, there are 1000s of people who know that and are trying to get into the field but few really make it and land a good job with good salary.
In order to be a sought after after Data Scientist in 2022 and beyond, you need to consider becoming a Full Stack Data Scientist.
Who is then a Full Stack Data Scientist?
A Full Stack Data Scientist is someone who knows the “end-to-end” of a data science project. When I say end-to-end, I mean right from getting the data, doing feature engineering, model building and model optimisation as well as model deployment.
Most people who try to enter the field of Data Science just learn half way and then struggle to even crack data science interviews. Few who manage to get job offer also get stuck and struggle when faced with real world data science projects.
The learning Phase:
- Get a Mentor(not a must but it helps)
- Master the essential Statistical concepts
- Master ONE programming language(Python recommended)
- Don’t forget your SQL and Excel Skills
- Master Machine Learning
- Master Machine Learning model Deployment
- Master One or Two, not more than that, Data Visualisation tools(Tableau or Power BI will get the job done in most cases)
- Learn Presentation and Storytelling.
The Practice Phase: Most Importantly
9. Get a Data Science Internship (paid or unpaid)
10. Participate in Hackathons (Kaggle recommended)
11. Write about your projects on Medium or any other platform(the more you write, the more you understand the concepts)
12. Make Sure Your Github account has all your projects in order(you will need this during interview stage)
The Final Phase: This phase can come before or after you get a job:
13. Start to master only one area of Data Science and become good at it (e.g, Natural Language Processing(NLP), Computer Vision(CV), etc
Last words.
The field of Data Science is going to be attractive but it takes the Full Stack Data Scientist to reap the benefits.
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