As AI Takes the World by Storm; Here are Professionals More Sought After Than Engineers
The AI revolution has taken the world by storm with ChatGPT and rivals launched in response to its rise taking things to the next level. While the world of artificial intelligence seems to orbit around engineering, the real star of the show is the data scientist. With searches for generative AI jobs soaring and openings for these roles climbing steadily, the demand for data scientists has never been higher. In fact, the prospects are not only lucrative, with six-figure salaries even for those with less than a year of experience, but they also offer remote work. So, how can you hop onto this data science bandwagon and ride it to a promising future?
Rise of data scientists in AI
Data scientists have long been associated with AI, but their prominence has skyrocketed in recent months. These professionals are at the forefront of collecting, analyzing, and interpreting vast amounts of data generated by AI models, enabling businesses to make smarter decisions. As more companies embrace AI to enhance their efficiency and improve customer experiences, the role of data scientists has become pivotal.
It's not just tech companies anymore; financial services, aerospace, media, and various other industries are all expanding their workforce to accommodate data scientists with AI expertise. Initially, many companies offered temporary or freelance roles to test the waters. However, they have now realized the tangible benefits of AI and are making long-term investments to build robust AI teams.
Becoming an AI Data Scientist
Education is certainly a stepping stone to becoming an AI data scientist. A bachelor's degree in mathematics, statistics, computer science, or a related field is typically the entry point. But beyond formal education, data scientists need to exhibit a blend of technical and non-technical skills, including statistical analysis, applied mathematics, a strong foundation in computer science, and exceptional communication and project management abilities. One common mistake that aspiring data scientists make is undervaluing their non-technical skills when crafting their resumes. Simply listing methods and algorithms is insufficient. Employers look for depth of application and a range of soft skills that go beyond technical know-how.
Lucrative opportunities as an AI data scientist
One of the most appealing aspects of pursuing a career as an AI data scientist is the earning potential. Even with less than a year of experience, data scientists in AI can expect to earn at least $100,000, according to Indeed. ZipRecruiter reports an average entry-level salary of $122,738. With 3 to 5 years of experience in the field, this figure climbs steadily to around $150,000.
For senior AI data scientists, the prospects are even more exciting, as many positions offer salaries well over $200,000. For instance, a senior staff AI scientist role at Uniphore, an AI startup, advertises a salary range of $151,200 to $207,907, while a senior AI scientist at GE HealthCare gets a base salary of $174,800 to $296,400. The financial rewards are indeed impressive. Furthermore, the AI data scientist field offers numerous remote opportunities.
In this competitive job market, aspiring AI data scientists need to present themselves as intelligent, adaptive, and enthusiastic about working with machine learning and statistics. Companies are looking for professionals who can contribute to their AI endeavors and provide value beyond algorithms and equations. In 2023, the most in-demand AI job is that of a data scientist, and the prospects are both financially rewarding and flexible in terms of remote work.
