Is data scientist a good job for girl?

Data Science is an excellent career choice for all women at any stage in life — whether they are just starting out, considering a professional transition, or thinking of re-entering the workforce. Yet, even with such an impressive performance, only an estimated 15–22\% of data professionals are women.

Why there is a gender gap in data science?

“Women have more data preparation and exploration skills, whereas men have more machine learning, big data, general purpose computing and computer science skills; the latter are traditionally associated with more prestigious and higher paying careers,” it says.

Is data science a male dominated field?

The field is so male dominated, it is always a surprise for me to see a new female student or lecturer. It isn’t just data science, but most tech spaces such as clubs, societies, and workshops that are predominantly led by males.

Why do we need data scientists?

Data Scientists help the company to acquire customers by analyzing their needs. This allows the companies to tailor products best suited for the requirements of their potential customers. Data holds the key for companies to understand their clients.

How many women are in the data science field?

Consensus across various surveys is that only about 15\% to 22\% of all professionals in data science–related roles are women. For companies hiring STEM students into tech and analytics roles, this is a very real constraint on talent.

Is data science really a nerdy field?

There is a widespread perception among STEM students that data science, the rapidly growing field behind the artificial intelligence (AI) and big data revolution, lacks purpose and promotes an unappealingly “nerdy” work culture.

What do STEM students really think about data science?

A very significant share of STEM students across countries appear to have a less than positive view of the work content and culture of data science. Their view, interpreted bluntly, is that data science feels abstract and without sufficient purpose, and that the culture seems overly “nerdy” and competitive.

How many data scientists are in the workforce?

Among respondents already in the workforce, nearly 1,400 work in a data science–related role, such as data scientist, analytics architect, data engineer, machine learning engineer, analytics software engineer, or analytics UX/UI engineer. Their employers represent a diverse mix of company sizes and industries.