Electronics and Electrical Engineering Job and Career Prospects

Artificial Intelligence, Machine Learning and Data Analytics Job Market in the USA

 

AI and ML are two terms that’s often used together to refer to similar technologies. AI is a computer program that learns from data, while ML is a technique for extracting knowledge from data. Today, artificial intelligence is already playing a significant role in all aspects of our lives, including marketing. The following are some examples of AI technologies in marketing:

Customer segmentation: This involves dividing customers into groups based on their demographics and psychographics (interests, needs, etc.) to determine the best customer segment for each customer. This is the first step in making sure a company’ s products and services fit the needs of consumers. This is crucial because it helps companies understand what their customers want, how to provide them with relevant information, and what to do in order to retain those customers. Targeting: This is the process of finding people that have similar interests, needs, or demographics to a customer and reaching out to them. It is considered one of the most critical steps in the marketing process because it involves identifying customers and then finding ways to meet their needs. Targeting is often the most difficult aspect in marketing because it requires a considerable amount of creativity and research. 

 

Artificial Intelligence, Machine Learning and Data Analytics Market in the USA

There are many opportunities and career paths available in the market when it comes to Artificial Intelligence, Machine Learning and Data Analytics. With the demands for these jobs increasing rapidly; more people are getting on board with these technologies. There are also a lot of new jobs being created every day as people may have found success in one of these fields and are able to turn their passions into a profitable business. However, it can often be difficult to find the right people with the right qualifications since there are so many job vacancies. The following is a list of the top ten highest paying AI related jobs in 2017 as well as the average salary to increase your chances of getting a job.

Top 10 Highest Paying AI Related Jobs in 2017*Data Scientist: $131,000-$209,000*AI Programmer: $112,000 -$146,000*Business Analyst: $110,000-$140,000*Software Engineer: $106,000-$137,000*Data Analyst: $99,000 -$122,000*Systems Analyst: $97,000-$106,000*User Experience Designer: $ 92,000-$112,000*Software Engineer: $95,000 -$124,000*Software Developer: $88,000 -$ 110,000*Mobile Developer: $92,000 -$110,0001. Data Scientist with a median salary of $131,0001. AI Programmer with a median salary of $112,0001. AI Developer with a median salary of $113,0001. Junior Software Engineer with a median salary of $106,0001. Senior Software Engineer with a median salary of $112,0001. 2. Business Analyst with a median salary of $110,0001. Junior Data Analyst with a median salary of $99,0001. Senior Data Analyst with a median salary of $112,000 3. Operations Analyst with a median salary of $90,0001. Mid-level Data Scientist with a median salary of $130,0001. Senior Data Scientist with a median salary of $130,0001. Data Analyst with a median salary of $110,0001 4. Junior Software Engineer with a median salary of $108,0001. Mid-level Software Engineer with a median salary of $115,000. Senior Software Engineer with a median salary of $125,0001. Mid-level Software Developer with a median salary of $110,0001. Senior Software Developer with a median salary of $ 125,0001. Data Architect with a median salary of $160,0001 5. Senior Software Engineer with a median salary of $120,0001.

 

Types of Jobs in AI, ML and Data Analytics

The AI, Machine Learning and Data Analytics job market in the USA has been steadily growing in recent years. With many companies utilizing data analytics, there is a demand for people with knowledge of these fields. These careers are perfect for students interested in computer science, mathematics, statistics or business analytics. To find the best jobs in AI, ML and Data Analytics, we used data from Indeed to analyze job market trends and post openings by category. We found that the number of job openings in AI, ML and Data Analytics grew by 9.2% in 2017. The average salaries for these positions were also analyzed. We also found that the top cities for AI, ML and Data Analytics jobs are San Francisco, Seattle and Boston .

 

Scope for AI, ML and Data Analytics in the USA

AI, machine learning and data analytics are seen as the next big breakthrough in the job market. This is not only because of their potential to change industries but it is also recognized as an area where new jobs will be created in the coming years. The new analysis by LinkedIn shows that the USA is currently leading in the global AI job market, almost doubling its monthly additions compared to last year.

 

Benefits of AI, ML and Data Analytics Jobs

Artificial Intelligence, Machine Learning and Data Analytics jobs are some of the hottest jobs in the industry right now. This blog article provides information about how these careers can help you land a high-paying job. The 3 Most Important Skills to Have to Succeed in AI, ML & Data Analytics Jobs appeared first on O'Reilly.

 

Salary Chart

Salaries for data analysts and artificial intelligence specialists are expected to grow by 24% through 2026. The median salary for data analysts is $54,000, which is considerably lower than some of the other job types, but still higher than the median salary of most U.S. workers. Explore the job market for data analysts and artificial intelligence specialists with Paysa.

Skills Needed in Industry Data Science Job Market Data Analyst Job Market Data Science Technology Job Market Demand for Data Scientists and Analytics Specialists Major Growth in Demand for Data Analysts and AI Specialists Technology is a key driver of job market growth.

Conclusion

Artificial Intelligence, Machine Learning and Data Analytics Job Market in the USA.

Happy Studying!