AI and Data Science Job Statistics

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Artificial intelligence has been around since the mid 1950s. There were multiple groups of people across the globe working on bettering their neural networks.But it became super popular recently because of the advancements in processing capabilities. As during those days there wasn’t the necessary computing power to realize AI. Today, we have the fastest computers the world has ever seen. And the algorithm implementations have improved so much that we can run them on commodity hardware, even your laptop or Smartphone. Artificial intelligence is the ability that can be imparted to computers which enables these machines to understand data, learn from the data, and make decisions based on patterns hidden in the data, or inferences that could otherwise be very difficult for humans to make manually. Depending on the size of your training data and nature of application, you can choose various algorithms for your model. Nowadays every major tech company like Google, Amazon, IBM, Facebook, etc. was investing heavily in machine learning and deep learning.

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Data science is all about data and we use data science to make business decisions. We all know that every single tech company out there is collecting huge amounts of data. Data is revenue. The more data you have, the more business insights you can generate. Using data science, you can uncover patterns in data that you didn’t even know existed.Companies are using data science to build recommendation engines, and predicting user behaviour, and much more. All of this is only possible when you have enough amount of data so that various algorithms could be applied on that data to give you more accurate results.

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Job Opportunities and Salary Trends :According to a Gartner report, Artificial Intelligence, Machine Learning Engineers, Software Engineers and Data Scientists have close to 2.3 million job opportunities by the year 2020. Salary trends for AI engineer or Data scientist is on and average 7 lakh in India and $100000 in US.

 

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Recommended Roadmap for Data Scientists and ML / AI Developers:

 

• Start learning Python including Pandas and NumPy

• Get your basics cleared on Linear Algebra, Probability, Multivariate Calculus, and Inferential Statistics

• Get introduced to SQL for data science

• Start engaging in data science and machine learning forums and communities

• Learn the basics of Machine Learning – Linear Regression, Logistic Regression, Decision Tree, Naïve Bayes, Vector, Supervised & Unsupervised Learning

• Spend time on building your GitHub profile

• Study the advances in machine learning – Random Forest, Ensemble Learning, Time Series, and Hyper-parameter Tuning,  Recommender Systems, Neural Networks and Deep Learning, Convolutional Neural Network and Computer Vision and NLP – Text Processing, Cleaning, and Classification

• Work on your resume, network with people, participate in competitions (e.g. Kaggle), and look for projects and/or internships and Apply for Jobs

 

AI/Data Science Industries:

• Google

• Amazon

• Intel

• Facebook

• Nvidia

• HiSilicon

• Syntiant

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Upcoming AI/Data Science Job Market :

The coronavirus (COVID-19) outbreak is having a growing impact on the global economy. So, how is the impact of COVID-19 going to be on the tech job market. Just like biosciences, there are a few tech job profiles that are likely to be in high demand during and post-pandemic recession. The heat, hiring in the AI sector is supposed to stay positive during this phase. Between February and March 2020, job titles that include the keyword ‘artificial intelligence’ (AI) are on track to increase by 11%. 285 AI-related companies in the U.S. raised $6.9 billion in the first quarter of 2020 and the number of AI jobs worldwide could increase by 16% in 2020, reaching a total of 969,000 (sources: WSJ, and Forbes).

According to the recent survey report by Burtch Works and IIA (International Institute for Analytics), the scenario for data science, AI and analytics professionals are promising. Demand for data-oriented occupations and skillsets increased in 2019 and 2020. Data scientists and data engineers have built-in job security relative to other positions as businesses transition their operations to rely more heavily on data, data science, and AI. COVID-19 crisis is likely to trigger growth in the AI sector and Data Science, Analytics & AI Trends 2020-2021 for Job Seekers and Study Abroad Aspirants. Following are the trends in AI and DS for young engineers.

·AI, ML & Data Analytics in Biomedical Research

·Cloud Computing in Making

·AI and Neural Networks in EdTech, Fitness, Entertainment, Social Media and OTT Platforms

·AI, ML, and Cybersecurity in FinTech

·AI, ML, IoT & Analytics in Supply Chain Management & Logistics

·Deep Learning & IoT in Monitoring Mobility and Social Distancing

·Data Science & AI in Controlling the COVID-19 Situation through Social Media

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AI and Data Science Recruiting companies

Amazon

Fractal Analytics

Walmart Labs

Busigence Technologies

IBM

TCS

Deloitte

LinkedIn

Sigmoid

Flipkart

Mate Labs

Couture

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