Unraveling the Trajectory of Data Science Salaries in the United States: A Comprehensive Analysis from 2020 to 2023 with Future Salary Projections

The purpose of this study is to analyze the impact of different positions, levels of expertise and company size on salary levels in the field of data science and to make salary projections for data science professionals in 2024. This research project can help data science professionals to understand what are the important factors that affect salary levels and to understand the salary environment and trends in the data science field in 2024. With the explosive growth of big data, the oversupply of data science jobs and the precise hiring needs have led to significant changes in the salaries of data science related careers from year to year. Data is thoroughly cleaned and preprocess sed to maintain data quality and consistency, including handling missing values and removing outliers. Descriptive analysis techniques were then used to understand the current state of data science salaries, calculating data such as mean, median and standard deviation. Time series modeling was used to determine how key factors affect pay levels over time. To further investigate salary trends, ARIMA was applied to visualize the evolution of data science salaries from 2020 to 2023, and then to forecast average salary levels for different positions in the data science field in 2024. In summary, the important factors affecting data science salaries and the trend of salaries for different careers in data science in 2024 are analyzed, and a detailed analysis is provided with salary as a key factor to provide valuable recommendations for data science stakeholders.