Digital Transformation is gaining a firm foothold across industries. The foremost critical factor that will help companies leverage digital transformation to their advantage is hiring the right people with the right skills.
The Concept of “Digital Transformation” varies industry to industry but in general, it is automating different functions of business with the integration of digital technologies. This not only leads to basic changes in the way businesses operate but also creates new job opportunities and demands new skills.
Companies nowadays focus mainly on five key skills Data Science, Artificial Intelligence, Cloud Computing, Cyber Security and Digital Project Management, etc. which are transforming industries across the world and creating in-demand jobs.
These next-gen skills are impacting the job market positively by creating new job opportunities for IT professionals. There are also 100+ Data Science Interview Questions and Answers for 2021 that could possibly help you in applying Data Science Job Roles.
In 2020 no organization will lag behind in adopting new technologies and increasing the demand for employees proficient in next-gen skills.
Organizations worldwide are aware of the challenges occurring due to digital transformation and empowering their tech employees by reskilling and up-skilling to keep them relevant in their careers.
So, let’s understand what are the most in-demand jobs and skills in 2020:
Data Science
This refers to obtaining the information from unstructured as well as structured data. It uses algorithms, statistical, mathematical concepts as well as scientific processes and methods for analyzing the voluminous data. Data Science consists of AI (Artificial Intelligence) and ML (Machine Learning).
Why is Data Science needed?
Earlier the data used to be structured and small in size, which could be analyzed by using the simple BI tools. The data generated from different sources like financial logs, text files, multimedia forms, sensors, and instruments.
The BI tools are incapable of managing and processing this huge volume of data. This is why we need more complex and advanced analytical tools and algorithms for processing, analyzing and discovering meaning patterns from the raw data.
- Data Science Skills: Data modeling, Data mining, Data warehouse , Data integration, Distributed architecture, Automating machine learning, Data visualization, Dashboards and BI, Data engineering, Deployment in production mode, Data analytics, MATLAB, Statistical, predictive modeling
- Data Science Job Roles: Data Analyst, Data Scientists, Data Engineer, Data Science Consultant, Data Architect, Data Mining Analyst, Data Specialist, Solution Architect – Data Science, Statistician , Research Scientist, Database Developer , Database Administrator , Machine Learning Developer
Artificial Intelligence (AI)
This is the science of creating intelligent machines/ computer programs that can be used to mimic human intelligence. Businesses of all sizes are using AI to solve the complex business problems.
Why is artificial intelligence needed?
We are growing with speed and at a huge rate. Consider it in terms of knowledge, work, development, task etc. The workload is increasing day by day and affecting the overall productivity. So, now it’s time to automate and centralized routine work. It not only channelizes manpower in the right direction but also increases productivity. The organizations with the help of AI implement human senses in the machines to get better outcomes.
- AI automates repetitive tasks
- Adds intelligence
- Analyzes deeper data
- Achieves incredible accuracy
- Gets the most out of data
Artificial intelligence Skills: ML, DL, NLP, Block-chain, Neural networks, Statistical learning, Predictive analysis, Pattern recognition, classifiers, Cluster analysis, Robotics Probabilistic methods: Bayesian network, Hidden Markov model, Kalman filter, etc. Expertise in tools such as Caffe/Deeplearning4j/ TensorFlow/ ConvNet, OpenNN/etc.
Artificial intelligence Job Roles: AI Developer, Deep Learning Developer, RPA Developer, NLP Developer, Neural Network Developer, AI Engineer, Block-chain Developer, AI/ML Developer, Deep Learning Architect, Algorithm Specialist, Research Scientist, BI Developer, Business Intelligence Engineer
Machine Learning (ML)
This is the science that uses statistical techniques to analyze the data, learn from the data & to make future predictions depending on its analysis. It also gives the ability to computer systems of improving its performance for specific tasks without being explicitly programmed.
Why Machine Learning is needed?
In recent years we have witnessed that Machine learning plays a major role in automating different tasks which were earlier done by humans. ML will have a huge impact on the economy which will change the entire work tasks, industries and job market. This is the right time for companies and employees to get into the door of Machine Learning.
- Provides rapid analysis prediction and processing
- Eliminates manual tasks
- Assist in real-time business decision making
- Enhances network performance and security
- Reduces operating expenses
Machine Learning Skills: Supervised machine learning, Unsupervised machine learning, Reinforcement Learning, Neural networks, SVM/CRF/HMM, Anomaly detection, Programming skills, R or Python, Regression analysis, Data exploration, Expertise in handling TensorFlow/Apache Mahout/Torch/ Accord.NET
Machine Learning Job Roles: Machine Learning Developer, Machine Learning Engineer, Machine Learning Expert, Machine Learning Specialist, Machine Learning Researcher, Data Analyst, Research Scientist, Predictive Modeler, Data Scientist, Data Science Engineer, Algorithm Specialist
Big Data
This involves the study and application of large & complex data sets (structured, semi-structured and unstructured form). This stream helps to address business problems by providing trends, patterns, better insights for businesses to make strategic moves.
Why Big Data is needed?
Data, in today’s technologically advanced world is the new fuel. The Big Data technologies are rising to extract necessary and useful information to analyze the different types of big data sets and gain insights that help you make strategic decisions. Big Data technologies originated in the 21st century and every technology company is making most of it to underline insights and patterns. Big Data is necessary for every small or big organization as it helps them to properly utilize the collected data. So, what are the benefits of big data? (1300 MSV)
- Finding errors instantly within the organization
- Saves cost
- Analyzes data immediately and makes quick decisions based on the learnings
- Helps you understand current market conditions
- Understands and optimizes business process
Big Data Skills: Docker, Flume, Hadoop, HDFS, Hive, Map Reduce, Oozie, Pig, Spark, Sqoop, Strong coding skills of Java, Python, Perl, shell scripting, Strong SQL and exposure to any RDBMS platforms
Big Data Job Roles: Big Data Developer, Big Data Analyst, Big Data Engineer, Big Data Architect Hadoop Developer, BI Engineer, BI Architect, Database Administrator, Hadoop Engineer, Hadoop Architect
Cloud Computing
This refers to the delivery of computing services such as servers, storage, databases, networking, software, and analytics through a cloud services platform or internet.
Why Cloud computing is needed?
Cloud computing is transforming the way businesses function these days. All small, medium, big size companies are relying on this technology. Technology is bringing a revolution in every industry from the last few years. Due to its shared computing resources nowadays people can have access to any kind of data anytime and can work from anywhere. Cloud computing provides smooth functioning of the workplace by restoring all the data centers, servers, and software on the cloud. Here are the benefits of cloud computing:
- Cloud computing reduces the operating cost
- Provides flexibility to connect to your work from any time, anywhere
- Ensures data protection by backing it up and protecting it in a secure and safe location
- Allows you to share the information easily
Cloud Computing Skills: AWS, Azure Machine Learning, DevOps, Linux, Puppe, Chef, VMware Database languages: SQL, MySQL, MongoDB , etc. Programming skills: Python, Java, Perl, .NET, Ruby, PHP, etc. Information security, MuleSoft
Cloud Computing Job Roles: Application Lead – AWS/Cloud/Azure, Cloud Technical Architect, AWS Developer, Microsoft Azure Developer, Cloud Computing Analyst, Functional Analyst, AWS Engineer, Cloud Data Architect, MuleSoft Architect, Security Architect
Information/Cybersecurity
This is the study of protecting organizational data, hardware, and software from online attacks or unauthorized sources.
Why Cybersecurity is needed?
Nowadays Cyber-attacks are an evolving problem for every organization. It can destroy the businesses completely. Cybersecurity protects confidential information with the help of its multiple layers of protection spread across computers, programs, and network. The objective of Cybersecurity is not only to provide cyber defense but also to let people make smart defense choices. Here are the benefits of Cybersecurity:
- Secures data and network from unauthorized access
- Improves company confidential information with the correct security controls in place
- Increases stakeholder’s trust in your information security arrangements
- Improves business continuity management
- Provides faster recovery in case of a breach
Cybersecurity Skills: DevSecOps, Strong understanding of operating systems Linux, Windows, TCP/IT, Coding skills: C, C++, PHP, Perl, Java, Python, Ruby, etc.) Security Certifications: CISSP, Comp TIA security, etc. Cloud Security, Fundamentals of IT & system administration, Threat Intelligence, Vulnerability management
Cybersecurity Job Roles: Security Engineer, Application Security Analyst, Information Security Expert, Information Security Specialist, Cyber Security Analyst, Cyber Security Specialist, Cyber Security Administrator, Data Security Engineer, Security Architect
So, do you want to boost your career?
These are the six most demanding tech skills in India in 2019, companies are evaluating while hiring a technical person.
Find out which skills are the most lucrative and will boost your career in the near future, what these jobs entail, and let’s get started!
How to evaluate these skills in order to hire talent for new collar jobs?
Firstly, decide the job skills you want to evaluate as it counts on the foremost important resource the employees possess. Consider the following suggestions:
- Instead of evaluating general skills every employee must have, try to focus on the technical job-specific skills evaluation
- Offer personalize evaluation method such as pre-employment testing as per the job requirement
- Instead of engaging in a time-consuming traditional way of evaluation provide online skills assessments with a valid and reliable candidate assessment tools to applicants in the office or in the comfort of their own time zone
- Make your technical skill evaluation prompt by providing applicants equipment, tools, or environment that they will use at their work.
Author Bio:
Pankaj is a digital marketing professional at Interview Moch-a recruitment assessment tool. He produces highly informative and actionable content for topics ranging from recruitment, social media hiring to candidate assessment. Pankaj believes in continuously learning & being updated with the latest trends in content marketing.
