# data scientist

> person studying and working with data

**Wikidata**: [Q29169143](https://www.wikidata.org/wiki/Q29169143)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Data_scientist)  
**Source**: https://4ort.xyz/entity/data-scientist

## Summary
A data scientist is a professional who studies and works with data to extract insights, belonging to the broader field of data science. They combine expertise in computer science, statistics, and domain knowledge to analyze complex data sets and solve problems across various industries.

## Key Facts
- **Occupation Code**: O*NET Online code 15-2051.00 and ESCO occupation ID 258e46f9-0075-4a2e-adae-1ff0477e0f30
- **Field**: Data science - the study of extracting insights from data
- **Salary Range (Australia, 2022)**: AUD 117,000 (Hobart/Launceston) to AUD 180,000 (Perth)
- **Salary Range (New Zealand, 2022)**: NZD 125,000 (Auckland)
- **Subclass of**: Scientist, statistician, data professional, systems analyst
- **Alternative titles**: Researcher of data science, data science professional, Datenwissenschaftler, データサイエンティスト
- **Gendered forms**: Male - duomenų mokslininkas; Female - científica de datos, scienziata dei dati, datová specialistka, מדענית נתונים

## FAQs
### Q: What does a data scientist do?
A: A data scientist studies and works with data to extract meaningful insights. They use computational, statistical, and analytical methods to understand patterns and solve problems in various domains.

### Q: How is a data scientist different from a computer scientist?
A: While both work with computers and data, a data scientist specifically focuses on extracting insights from data using scientific methods, whereas computer scientists may work on broader computing systems and software development.

### Q: What qualifications do data scientists typically have?
A: Based on the professionals listed, data scientists often hold Ph.D. degrees from major universities and have backgrounds in computer science, statistics, or related fields. Many also work as university teachers or researchers.

## Why It Matters
Data scientists play a crucial role in today's data-driven economy by transforming raw information into actionable insights that drive decision-making across industries. As organizations collect increasingly large amounts of data, these professionals bridge the gap between technical data analysis and practical business applications. They help companies understand customer behavior, optimize operations, predict trends, and make evidence-based decisions. The profession represents the intersection of multiple disciplines - combining computer science, statistics, mathematics, and domain expertise - making it essential for solving complex problems in healthcare, finance, technology, and other sectors. With competitive salaries reflecting high demand (ranging from AUD 117,000 to 180,000 in Australia), data science has become one of the most sought-after careers in the digital age.

## Notable For
- **Global profession**: Practiced worldwide with professionals from Greece, Turkey, UK, US, Nigeria, Syria, Australia, Bulgaria, Czech Republic, and other nations
- **Academic connection**: Many data scientists also serve as university teachers and researchers, indicating strong ties to academia
- **Interdisciplinary nature**: Combines computer science, statistics, and domain expertise
- **Gender diversity**: Includes both male and female professionals across various countries
- **Multiple career paths**: Some data scientists also work as sustainability experts, journalists, library scientists, or artificial intelligence researchers

## Body
The profession of data scientist emerged from the intersection of statistics, computer science, and domain expertise. As an occupation, it is classified under the O*NET Online system with code 15-2051.00 and ESCO occupation ID 258e46f9-0075-4a2e-adae-1ff0477e0f30.

Data scientists work across diverse sectors and geographies. Notable professionals include Minos Garofalakis (Greek), Anita Raja (American), John Kit Tang (UK), Alan Qi (MIT Ph.D. 2005), Pınar Dönmez (Turkish), Dave Thau (American sustainability expert), Temiloluwa Prioleau (Nigerian), and many others spanning multiple continents.

The profession offers competitive compensation, particularly in Australia and New Zealand. According to 2022 salary data, Australian data scientists typically earn between AUD 117,000-180,000 annually, varying by location. Perth offers the highest average at AUD 180,000, while Hobart/Launceston averages AUD 117,000. Auckland, New Zealand shows an average of NZD 125,000.

The field encompasses various specializations, with some data scientists also identifying as artificial intelligence researchers, sustainability experts, library scientists, journalists, or university teachers. This versatility demonstrates the profession's broad applicability across different domains and industries.

## Schema Markup
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## References

1. Source
2. [Source](http://data.loterre.fr/ark:/67375/TSO-CQ4SCZ0X-J)
3. [Source](https://www.hays.com.au/documents/276732/1102429/Hays+Salary+Guide+IT+Edition+FY2223.pdf)