Which is the best company to work for as a data scientist?

Powered by the open-source community, Cloudera is one of the fastest-growing cloud companies out there accelerating digital transformation for the world’s largest enterprises. The average salary of a Data Scientist at Cloudera is $132,308 per annum.

What data scientist should I choose?

There are three general steps to becoming a data scientist:

• Earn a bachelor’s degree in IT, computer science, math, business, or another related field;
• Earn a master’s degree in data or related field;
• Gain experience in the field you intend to work in (ex: healthcare, physics, business).

Which company pays the highest salary for data scientist?

Best-Paying Companies for Data Scientists

• #1. Pinterest — $212,000 per year.
• #2. Lyft — $209,000 per year.
• #3. Uber — $206,000 per year.
• #4. Facebook — $198,000 per year.
• #5. Dropbox — $183,000 per year.

Should you specialize in data science?

Eventually, most data scientists do choose to specialize. According to one analysis written for the Harvard Business Review, these experts tend to fall into one of three categories in their later-stage careers: Business Intelligence: This category involves organizing company data into easy-to-understand dashboards, reports and emails.

What are the top 11 data scientist skills employers want in 2021?

11 Data Scientist Skills Employers Want to See in 2021. 1 1. Data Visualization. Data visualization is a critical part of any data scientist’s day-to-day work. With this skill, analytics professionals can 2 2. Python. 3 3. SQL/NoSQL. 4 4. Social Media Mining. 5 5. Fundamental Statistics.

How do I start learning data science?

Make yourself self-motivated to learn Data Science and build some awesome projects on Data Science. Do it regularly and also start learning one by one new concept on Data Science. It will be very better to join some workshops or conferences on Data Science before you start your journey. Make your goal clear and move on toward your goal.

Do you need SQL to be a data scientist?

Odds are, you won’t find a data science position that doesn’t require you to use SQL at least once in a while. That said, SQL isn’t the be-all-end-all of databases. Aspiring data scientists should also know how to productively interact with non-relational (NoSQL) data stores when necessary.