Often touted as one of the top jobs of the 21st century, a data scientist is an increasingly common requirement across firms of different sizes and from a variety of verticals. This comes from the fact that:
In the course of a data science career, a data scientist handles a number of responsibilities. The key purpose is to support product, marketing, and leadership teams with insights gleaned through data analysis of large data sets. Some specific responsibilities are mentioned below:
To be able to complete these responsibilities, a candidate is expected to possess the following set of data scientist qualification and skills:
For a better understanding, take a look at data scientist qualifications, along with roles and responsibilities, categorized as per the stage in the career.
Entry-level data scientist
This is typically someone who has recently acquired a degree and is either looking for a first job or has just joined work. For the employer, the focus is on imparting learning through special training programs, to start off their data science careers. Their actual tasks include data analysis as well as using ML for day-to-day work tasks, among others. The chief requirements in terms of qualifications and skills include:
Salaries, though obviously lower than more experienced data scientists, are still quite impressive, with an estimated average of USD 68,999 per annum.
Junior data scientist
At this stage of a data science career, the person is expected to be able to work independently, without close supervision from peers or seniors. The person, by this time, has some work experience and more than a basic idea of what is to be done. Tasks include data mining, and creating data analysis frameworks and tracking their performance, among others. The chief requirements in terms of qualifications and skills include:
Annual salaries range from a low of USD 62,000 to a high of USD 120,000, with an average estimated at USD 86,672.
Senior data scientist
Considered an expert in the field, a senior data scientist has typically worked with all of the different tools required in the field. The person would have a thorough knowledge of not only the particular specialty but also other relevant aspects (for instance, a strong command of data analysis). Top skills at this level include:
Salaries per annum range from USD 99,000 to USD 181,000, with an average of US 134,222.
At this level, it helps to be a certified data scientist, and a great choice of certification is the Senior Data Scientist (SDSTM) from the Data Science Council of America (DASCA). Considered the most powerful credential in the world for accomplished data scientists, this is targeted at professionals with at least 10 years of experience in big data analytics or big data engineering.
For someone looking at a career in data science, the rewards are immense, but there has to be a determination to learn and progress on the career path.