In recent years, Data Science and Machine Learning fields has been exploding with lots of companies looking for Machine Learning engineers to help them build great products.
It’s best to get started by learning about the field if you haven’t, data science has attractive wages but it isn’t for everyone. If DS looks like your jam then start off with some of the best data science books, Machine Learning: a Probabilistic Perspective by Kevin Patrick Murphy is my favorite but there are many more. Some form of training is almost essential, many people recommend starting with a data science bootcamp at the minimum, and a CS degree is preferred (though you can make it without one).
I’ve seen most junior data scientists start at around $60-70,000 yearly, although that number changes depending on the cost of living in your area. Data scientists in places like LA and NYC get higher salaries, and a seasoned data scientist can make much more, easily breaking six figures.
While it is certainly common for data scientists to have either a bachelor's or master's degree (typically in computer science), a degree becoming less of a requirement for data science and data analytics positions. As the need for qualified and skilled data scientists has continued to increase in recent years, many businesses (large and small) have begun to lift their degree requirements for these lucrative and fulfilling jobs. For many companies, it's far more important for you to demonstrate your skills and experience, rather than for you to have a specific degree. Thus, data science bootcamps have become an increasingly viable option for aspiring data scientists and analysts. These short-term programs focus on teaching students the practical skills they need to succeed in data science positions and provide extensive opportunities to gain hands-on experience to help them demonstrate their skills to prospective employers.
The field of data science is a vast one, so it would be impossible to sum up all of the skills a particular data scientist might need. That said, here are some of the most common data science skills that could be required, depending on the particular data science field and the specific position: - Data analytics - Data processing - SQL (Structured Query Language) - Problem solving - Data visualization - Artificial intelligence - Apache Spark - Python libraries - R (programming language) - Big data - Data wrangling - Cloud computing Again, these are just a few of the common skills needed for many data scientist jobs. The actual skills required will depend greatly on your specific position and field.