• Python

• Jupyter Notebook

• Pandas
• Matplotlib
• seaborn
• ipywidgets
• plotly
• sklearn

This assessment is an in-depth analysis of the salary details for North American employers whose employees are also located in North America.

The cleaned dataset contains 4 years of salary details for Data-related careers from 2020 to 2023 and comprises 8,080 records.

• 28 collected in 2020
• 87 collected in 2021
• 1,323 collected in 2022
• 6,642 collected in 2023

The Data job categories reported include:

• Data Analysis
• Machine Learning and AI
• Data Management and Strategy
• Cloud and Database
• Data Engineering
• Data Quality and Operations
• BI and Visualization
• Leadership and Management
• Data Architecture and Modeling
• Data Science and Research

The participants reported the following experience levels:

• Entry-Level
• Mid-Level
• Senior
• Executive

They also reported the following work settings:

• In-Person
• Remote
• Hybrid
  
  

The maximum reported salary across all categories over the 4 years is $450,000.00 for a Mid-level Research Scientist while the minimum reported salary stands at $24,000.00 for an Entry-level Data Scientist. The median salary is $150,000.00, representing 2.48% of the total reported jobs.

Salary correlates positively with experience level (0.21, highest reported) and inversely with work location (-0.046, lowest reported). On average, employees with more experience report higher salaries, while the location of work has a minimal effect on reported salary. Full-time, in-person employees are the highest paid, closely followed by full-time remote employees. "Machine Learning and AI" claims the title of the highest-paying job category for both in-person and remote data professionals, while "Data Architecture and Modeling" proves most lucrative for hybrid employees.

Approximately 99% of the data has been obtained in the most recent period, making it the most significant for analysis. The median salary reported across experience levels for full-time employees has remained relatively stable over the last 2 years across work settings and experience levels. The sharpest spikes, both positive and negative, have been observed in Entry-Level positions, indicating that they have the most variability in pay most recently. Senior-level positions showed an overall positive median salary increase while Mid-level positions showed an overall decrease. Executive-level salary stayed neutral most recently.

The salary data analyzed in this assessment originated from Kaggle. The complete dataset contains salary trends for data-related careers on a global scale. To narrow our focus to the most pertinent information and address a data skew, it was refined to isolate records exclusively related to North American employers and employees. The most recent version of this assessment, synchronized with the source data updates, can be viewed here