WILL ARTIFICIAL INTELLIGENCE(AI) APPLICATIONS REPLACE DATA SCIENCE CAREERS?
Tags: programming, career, ai, datascience
Published: 2023-07-19 05:58:40

**Introduction**
> In recent times, there has been a debate whether Artificial Intelligence (AI) platforms will replace Data Scientists in their job roles. I am writing this article to clear any more doubts out there.

**DATA SCIENCE CAREERS AND THEIR JOB ROLES**

Let's look first look at some careers in data technology.

1. **Data Engineer:** A Data Engineer collects, translates and validates data from various sources to build systems and convert raw data into useful information for analysis. Data engineers build data warehouses to empower data-driven decisions; It is all about dealing with scale and efficiency, and lays the foundation for real-world data science application.

2. **Data Analyst:** A Data Analyst is someone who gathers, cleans, and studies datasets to help solve problems and provide insights.

3. **Data Architect:** is a data management professional who translates business requirements into technical requirements and defines data standards and principles. The role is a crucial link between business and technology. 

> The one crucial thing about Data Related Careers: They all deal with problem solving and business solutions.

- They combine the knowledge of many different technologies with many being sophisticated.

- They work in teams, each division with its own area of specialization.

- They work with stakeholders and business oriented people who care less about the science and more about the analytics.

_Therefore, creating an A.I which will replicate all these factors to perfection will probably not be in this dispensation._

Still not convinced? Let's ask ChatGPT itself.

> What is the probability of ChatGPT and other AI platforms replacing Data Scientists?

> The probability of ChatGPT or other AI platforms replacing Data Scientists entirely is quite low. While AI platforms like ChatGPT have made significant advancements in natural language understanding and generation, they are currently best suited for specific tasks and use cases.
> Data Science is a multidisciplinary field that requires expertise in statistics, mathematics, programming, domain knowledge, and critical thinking. Data Scientists possess a deep understanding of data analysis, modeling, and problem-solving, which involves more than just generating text responses.
> AI platforms can be valuable tools for Data Scientists, automating certain repetitive tasks, assisting with data preprocessing, and aiding in exploratory data analysis. They can also facilitate the development of models and help with model evaluation and interpretation. However, Data Scientists bring essential skills like formulating business problems, designing experiments, feature engineering, model selection, and implementing advanced algorithms.
> Furthermore, Data Scientists play a crucial role in understanding the nuances of data, ensuring ethical considerations, and making informed decisions based on data insights. They possess domain knowledge, context, and the ability to ask the right questions that AI platforms may not fully replicate.
> In summary, while AI platforms like ChatGPT can enhance the work of Data Scientists, their current capabilities do not encompass the breadth and depth of expertise required for the full range of tasks performed by Data Scientists. Data Scientists will continue to be valuable contributors in leveraging data for impactful insights and decision-making.

**Conclusion**
A.I will be valuable to Data Enthusiasts who understand the full scope of their job roles/projects. As such, it is safe to say Data Scientists job roles will not be going extinct any time soon.