How Much Do Data Scientists Make in 2021? - Issue 66
A recap of data analysis publications and news over the past month.
Hello analysts, and welcome to a free edition of the Data Analysis Journal, a weekly newsletter about data analysis, data science, and business intelligence.
If you’re not a paid subscriber, here’s what you missed this month:
Facebook SQL Interview Question - a technical SQL coding interview question for a data science position at Facebook, offering solutions and tips on how to pass it.
From Data To Slide - a guide with examples of how to create correct charts and effectively represent a large amount of data on one simple slide.
How To Create A Data Analyst Portfolio - do you need to have a portfolio? Does having one help you land a job? If you already have a job, do you still need a portfolio? How much time should you spend on it? Where should you host it? How do you even make one at all? All of these questions will be answered with examples of effective analyst portfolios.
This month we are bracing for Halloween and the upcoming Global Tableau Conference Let’s All Data. An astonishing line-up of Tableau executives and… wait for it... Olympic athletes and Radiolab hosts will guide us on how to “hone analytical skills” and tell us about “the future of data”. This is exactly whom I want to learn data and AI from! How did they know? One of the slowest and most obsolete tools on a market will proudly teach us “ways to work smarter and faster with data”. Can’t wait. Must be thrilling.
📊 State of ML and Data Science 2021
A month ago I participated in the annual Kaggle Data Science and Machine Learning survey, and I’m so excited to finally receive the results! Today I wanted to share the resulting insights and data on demographics, salaries, roles, and trends of ML and DS in 2021.
Over 25,000 data scientists and ML engineers submitted responses regarding their backgrounds and day-to-day experience. The report below, however, is focused only on the 14% of respondents who are currently employed with the job title of “data scientist”.
👤Data Scientist Profile
82% of data science survey responders are men:
Data science remains a fairly young profession, with the majority of people being between 22 and 34 years old:
Data scientists live and work all around the world. There is a growing pattern in India in 2021:
🎓Education and Experience
Over 62% of responders obtained either a Master’s or doctoral degree. Fewer than 5% of data scientists have no degree beyond a high school diploma:
For continuing education, Coursera is the most popular data science learning resource:
Most data scientists have at least a few years of coding experience:
💲Pay
Companies in the United States are most likely to pay in the six figures, based on these survey results. Global companies have lower salary ranges (chart in USD):
US companies are more likely to pay higher salaries. Companies in Germany and Japan follow, with significantly higher salaries than the other regions:
I’ll stop here, but there are many more interesting insights on data science teams, applications, frameworks, and algorithms. Read a study summary here or make your own summary by exploring the raw survey results here.
📈 Your Next Data Science Project
Free and Open Public Data Repositories.
Which Halloween candy is the tastiest and popular? Find out yourself querying this dataset which contains votes on 85 confections along with each candy’s winning percentage, category (does it contain chocolate? Caramel?), relative cost, and level of sugar.
If you can’t wait, here is a ready analysis for the same dataset - The Ultimate Halloween Candy Power Ranking.
🔥 What’s new
Snowflake is hosting another big event on November 16 and has “big product announcements to reveal” with sessions for data scientists and data engineering. Interesting.
October 21 was the awareness day for #LatinaEqualPay Day 2021. Latinas typically earn only 57 cents for every dollar earned by white, non-Hispanic men and must work nearly 23 months to earn what white men earn in 12 months. You can learn more and support equal rights advocates here.
📚 Weekend Longread
A week ago CrunchyData published a very cool guide - Projecting Monthly Revenue Run Rate in Postgres. It is about how to calculate MRR and ARR, MoM revenue change in Postgres database using SQL. I can tell by looking at the code that SQL is applicable for RedShift, and with some modifications, it should work in Snowflake and probably MySQL. I’ll definitely bookmark and come back to it.
🪴Some housekeeping
I have a favor to ask 🙏: if you use Gmail and my newsletter goes straight into your Promotions folder, could you please move it out of there into your Inbox? A few readers noted they don’t receive the newsletter, and this is the reason why.
Thanks for reading, everyone. Until next Wednesday!