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Kaggle Team Roster and Biographies
Data Science and Analytics
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About
The Official Kaggle Team data provides a detailed portrait of the staff members behind the world's largest data science community as of 5 November 2023. Developed to address the lack of easily consumable, structured public records regarding the organisation's internal team, this file aggregates specific details found on the Kaggle "About Team" page. It captures essential professional attributes, roles, and platform engagement statistics of the individuals building and maintaining the site, offering a snapshot of the workforce structure within this major tech entity.
Columns
- Id: A numerical index identifier for the record.
- UserId: The unique numerical identifier assigned to the user on the Kaggle platform.
- UserName: The specific username handle associated with the staff member.
- DisplayName: The public-facing name displayed on the user's profile (e.g., D. Sculley).
- Name: The full name used in the biography section.
- Position: The professional role or job title held within the Kaggle team (e.g., Developer, Data Scientist).
- Bio: A text string containing the staff member's written biography and professional background.
- RegisterDate: The date the team member originally registered on the platform, ranging from 2010 to 2023.
- PerformanceTier: A numerical rating indicating the user's tier on the platform, with the majority of the team holding the highest tier (5).
Distribution
The data is formatted as a single CSV file (
TheKaggleTeam.csv) with a file size of approximately 27.63 kB. It contains 63 distinct records representing individual team members. Each record is fully populated across 9 columns, with 100% validity and no missing values reported in the sample.Usage
This file is suitable for a variety of analytical applications, including:
- Workforce Analytics: Examining the ratio of Developers to Data Scientists and other roles within a tech platform.
- Growth Trajectory Analysis: Mapping the expansion of the team over time using the registration dates to visualize hiring trends from 2010 to 2023.
- Text Analysis: Utilising the "Bio" column to extract common skills, previous employers (such as Google Brain), or educational backgrounds of the leadership team.
- Network Analysis: Understanding the composition of the administrative and development team behind a major online community.
Coverage
The data covers the Official Kaggle Team members listed as of 5 November 2023. The temporal scope of the registration dates spans from 21 August 2010 to 16 October 2023. Geographically, it reflects the global nature of the team, though specific location data is not explicitly detailed in the columns; the focus is on the digital identities and professional roles of the 63 individuals listed.
License
CC0: Public Domain
Who Can Use It
- HR Analysts: To benchmark team structures in successful data science communities.
- Tech Recruiters: To study the profiles and backgrounds of top-tier developers and data scientists.
- Data Science Researchers: To analyse the evolution of the platform's leadership and support staff.
- Community Managers: To understand how large-scale online communities staff their internal teams.
Dataset Name Suggestions
- Kaggle Official Team Snapshot 2023
- Kaggle Staff Profiles and Roles
- Kaggle Team Roster and Biographies
- Tech Platform Workforce: Kaggle Edition
Attributes
Original Data Source: Kaggle Team Roster and Biographies
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