Case Study about Data Scientist Job & Salary 2020 - 2023
"Data Scientist Job Market Analysis: Trends and Insights"
Description:
In this captivating case study, I delve into the world of data science job market analysis using an open-source dataset sourced from Kaggle. Embark on a fascinating journey as we uncover valuable insights and trends within the rapidly evolving field of data science employment.
Data Scientist Dataset
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Objective:
The primary objective of this case study is to gain a comprehensive understanding of the data scientist job market by analyzing key factors such as location, experience level, remote work opportunities, and more. Through this analysis, we aim to identify emerging trends, highlight in-demand skills, and provide valuable insights for aspiring data scientists and employers alike.
Dataset - Info:
Step into the realm of data science with this captivating dataset that holds the key to unraveling the intricate dynamics of the job market. With 11 intriguing columns and 3,755 enlightening rows, this treasure trove of information unveils the secrets of the industry from 2020 to 2023.
Columns:
- Work_year
- experience_level
- employment_type
- job_title
- salary
- salary_currency
- salary_usd
- employee_ressidence
- remote_ratio
- company_location
- company_size
#01
This column chart gives an clearly understanding about the no.data in the dataset based on the year
This remarkable dataset spans four transformative years, featuring 3,755 carefully curated data points. Uncover the evolution of the field from 2020 to 2023, with 76 data entries from the dynamic year of 2020, 230 entries from 2021, 1,664 entries from 2022, and an impressive 1,785 entries from the game-changing year of 2023.
#02
This pie-chart gives a clear view of "Total No. employee based on their experience level"
As we dive into the insights presented by this captivating pie chart.we find that approximately 66.99% of the employers in our dataset hold the distinguished position of senior level. This reveals a substantial portion of the data science job market occupied by experienced professionals, highlighting the significance of senior-level roles in this industry.
In the data science job market, the distribution of experience levels is as follows:
- Entry level: 8.5%
- Mid-level: 21.4%
- Senior level: 66.99%
- Experienced: 3.0%
This distribution indicates that the majority of employers in the dataset hold senior-level positions, making it an essential segment for analysis in the data science job market. Additionally, mid-level roles also form a considerable part, while entry-level and experienced positions have a smaller representation.
#03
The column chart clearly illustrates the growth of data scientist job opportunities over the years, particularly in the aftermath of the COVID-19 pandemic. Before the pandemic, there was already a steady rise in job openings, which continued to increase in 2020. However, the most significant surge occurred in 2022 and 2023, reflecting the direct impact of COVID-19 on the demand for data scientists.
This illustrative chart provides a comprehensive overview of the employment distribution for data scientists, highlighting the prevalence of Full-Time, Part-Time, and Contract roles among employers. A thorough analysis of the data reveals a significant disparity, with Full-Time positions accounting for an overwhelming 99.01% majority, surpassing other employment types
Different types of Data science jobs in each year 2020 to 2023
#05
This chart provides a comprehensive overview of job rates for specific job titles from 2020 to 2023. It allows us to observe how these rates have fluctuated over the four-year period, providing valuable insights into the data scientist job market.
Upon careful analysis of the data, it becomes evident that the job growth rate for Data Engineer has been the highest throughout the years. This significant growth highlights the increasing demand for professionals in this field in the job market.
In the bustling world of data science job opportunities, four sought-after Data Detective roles have emerged victoriously from the analysis. These data sleuths, donning the titles of Data Engineer, Data Scientist, Data Analyst, and Machine Learning Engineer, reign supreme as the stars of the data science galaxy, each contributing their unique expertise and flair to meet the industry's growing demands.
- Data Engineer
- Data Scientist
- Data Analyst
- Machine Learning Engineer
#06
The chart displays the "Average salary in India" for different years, and it reveals that the year 2021 stands out with the highest average salary compared to other years in the country. This observation highlights the positive growth and potential in the job market during that specific year.
#07
The chart provides an overview of the number of available jobs in India for each year, clearly indicating that both 2021 and 2022 had the highest number of job opportunities compared to other years. This data reflects the robust job market during those particular years, showcasing significant employment opportunities for job seekers in India.
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