DATA SCIENTIST vs AI ENGINEER- WHICH CAREER IS BETTER TO GET INTO

1. DATA SCIENTIST vs AI ENGINEER- WHICH CAREER IS BETTER TO GET INTO? Are you inclined towards working with a big number pool or you are a keen AI technology enthusiast? Irrespective of your choice, you are streamed for massive career growth ahead. But, before you delve into either of the skills, it is essential to understand the ins and outs of the industry and what progression you can expect as an industry expert down the line. Stating facts; the global data science platform market size is expected to reach USD 10.15 billion by 2024 (Mordor Intelligence); whereas Statista reveals the global market size for Artificial intelligence is expected to reach USD 184 billion in 2024. The bigger question lies in the choice between becoming an efficient data science professional or a certified AI engineer. This shall be enabled with the most nuanced certifications that can guarantee you an even understanding as well as greater career amplification. Let us begin by understanding the core of these flourishing industries and how you can make it big in either of your choices. Understanding Data Science Industry: The global data science industry is gaining strength with every passing year. Today, it stands at a staggering with data generation rates going high with each day touching 2.5 quintillion bytes of data in 2024 (edgedelta.com). As per Technavio, the global big data market size is expected to grow by USD 508.73 billion through 2028; with a whopping CAGR of around 21.46%. With this, it is evident how far the demand for skilled senior data scientists shall reach. Understanding AI Engineering: Talking of the AI revolution, demand for AI engineer skills is pacing up fast. You can settle for higher salaries with the best capabilities earned at top artificial intelligence engineer certifications. Tech recruiters are vouching for a specialized workforce in artificial intelligence engineering. The demand for them skyrockets with the world expecting 85 million job openings by 2025 (McKinsey Global Institute). Career Prospects in Data Science: Data scientist, data analyst, data engineer, data architect, business intelligence engineer, and many other rewarding career options open for deserving and skilled professionals. May 2024 recorded an average salary range of USD 75k to USD 120k for beginners to experienced data scientists worldwide (Zippia.com). This surely puts the burner on for the data science industry. Career Prospects in AI Engineering: Machine learning engineering, big data engineering, robotics engineering, business intelligence development, and AI data analysis are some of the gazillion opportunities that open for certified AI engineers ahead. They can expect an average annual package of USD 100k to USD 180k, reports BuiltIn.com. Most Common Requisites DATA SCIENTISTS Bachelor’s degree in STEM subject or equivalent Proficiency in programming languages Data manipulation and analysis AI ENGINEERS • • Bachelor’s degree in STEM subject or equivalent Machine learning Natural language processing • • • •

2. • • • • • • • • • Big data technologies Data visualization Machine learning Statistical software Technical engineering skills Deep learning Programming language competency Computer vision Data analysis However, the requirements may sound identical; but they differ vividly. This requisite list shall remain incomplete without the mention of credible data science certifications and AI certification courses to boost your career. Both roles demand excellent communication skills and decision-making abilities to drive businesses toward success. Most Popular Certifications DATA SCIENCE CERTIFICATIONS ARTIFICIAL INTELLIGENCE ENGINEER CERTIFICATION Stanford University School of Engineering, USAII® Certified AI Engineer (CAIE™), and Purdue University’s post-grad program in AI and machine learning are ranked highly among the best credentials in AI engineering worldwide. IBM Data Science Professional Certificate, USDSI® Certified Lead Data Scientist (CLDS™), and Microsoft Azure Certifications are a few of the top-listed offerings for becoming a data scientist. Career Advancements After Getting Certified: Getting certified in either of the fields shall allow a massive boost to your career. Picking the most suited career option for yourself shall require you to gain an in-depth understanding of the above- stated nuances. these shall pave the way toward a greater career progression with meatier roles on offer and making you a quick pick in the next interview. Are you confused? Weight the pros and cons of every industry career opportunity and sift through the options you have. Make it an inevitable process to dig deep into the requisites and see for yourself what resonates with your career goals majorly. Salary, career growth, and other perks are no stopping for the deserving candidates who give it all to make into a thriving career. The future is technology- think it through and make a sound decision!