Section 1.1: Average Salaries Across Popular Companies

Salaries can be analyzed in various ways, including minimum, maximum, standard deviation, average, and median values. In this section, we focus on average salaries reported in US dollars. It's essential to remember that these figures might include base salaries, bonuses, stock options, and other forms of compensation.

Glassdoor Averages:

The latest salary data from Glassdoor is as follows (reported on December 13, 2021, but still relevant for 2022):

• Average: $118,209 (Base pay: $99,064 + Additional pay: $19,145)
• Meta: $160,000
• IBM: $138,396
• Oracle: $157,797
• Google: $152,987

ZipRecruiter Averages:

Updated data from ZipRecruiter as of June 7, 2022:

• Average: $119,587

Payscale Averages:

Payscale's updated figures as of May 17, 2022:

• Average: $97,358

Notably, the average salaries vary across these platforms, with Payscale reporting the lowest figures, while Glassdoor and ZipRecruiter show more similarities. Various factors, such as the number of reported salaries and the accuracy of the data, can influence these average salary reports. Now that we have a clearer understanding of average salaries, let's explore how they differ by city.

Data Science Salaries for 2022 - This video provides insights into the current salary landscape for data scientists, offering valuable context to the figures discussed.

Section 1.2: Geographic Salary Variations

Using the same sources for this data, we can examine how salaries differ across various cities. The concept of city-specific salaries has evolved significantly due to recent global events and the rise of remote work. Do city-centric salaries still hold importance? As remote work becomes more common, will salaries level out across different regions? Nonetheless, many companies continue to offer city-specific salaries, which can reflect the local cost of living.

Glassdoor Averages:

Here are salaries from a selection of cities, showcasing a range of pay levels influenced by local costs:

• Dallas, Texas: $119,401
• New York, New York: $119,343
• Miami, Florida: $117,706
• Seattle, Washington: $132,464
• Galveston, Texas: $119,281

Interestingly, the salaries across these cities are relatively close, with Seattle leading this sample, which can be attributed to its concentration of major tech firms.

ZipRecruiter Averages:

The top five cities with the highest average salaries are:

• Santa Clara, California: $147,475
• San Francisco, California: $142,726
• Fremont, California: $139,258
• Marysville, Washington: $137,304
• San Jose, California: $134,809

California leads the list, with Seattle making a noteworthy appearance, while New York is absent from the top ranks.

Payscale Averages:

A few notable cities and their average salaries include:

• New York, New York: $107,748
• Atlanta, Georgia: $93,472
• Los Angeles, California: $101,453
• Chicago, Illinois: $93,042

As expected, there's a clear distinction between salaries in higher-cost cities versus more affordable ones.

Section 2.1: Salary Breakdown by Experience

Seniority can be gauged through years of experience or job titles. Here’s a breakdown of average salaries based on experience levels from Glassdoor:

• 0–1 Year: $118,893
• 1–3 Years: $127,273
• 4–6 Years: $134,923
• 7–9 Years: $140,803

A significant jump in salary occurs after the first couple of years, which can be crucial for job transitions.

ZipRecruiter Averages:

This platform offers an intriguing breakdown of higher-level data science roles:

• Principal Data Architect: $202,916
• Director of Data Science: $201,590
• Staff Data Engineer: $177,857
• VP of Data Science: $168,888
• Head of Data Science: $161,071

These figures are notably high, highlighting the premium placed on senior-level positions.

Payscale Averages:

Payscale’s classification of salaries based on experience levels includes:

• Entry-Level: $85,456
• Early-Career: $96,204
• Mid-Career: $110,782
• Experienced: $123,303

These numbers appear somewhat lower, raising questions about how inflation may affect future salaries in the data science field.