Top 7 Data Science Jobs in 2022

The field of data science can be described as an interdisciplinary field that employs techniques and algorithms, processes, and systems to collect information and insights from messy, unstructured, and structured data. Data science applies the knowledge and actionable insights derived from data from a variety of domains of application.

The demand for Data Scientists is still high, and supply is limited. According to the U.S. Bureau of Labor Statistics, it expects to see rapid growth in data science and estimates that there will be a rise in jobs that will rise by around 28% until 2026. If you take that 28% as an approximate number, that’s about 11.5 million new jobs within the field.

7 Data Science Jobs

Let’s take a look at the different kinds of jobs in data science,

Data Scientist

Data scientists are professionals in data analysis who apply their knowledge of social and technological science to uncover patterns and manage data. They rely on their industry expertise, contextual understanding, and the skepticalness of current assumptions to discover solutions to business problems.

Skills Required for Data Scientist:

  • Python programming
  • Programming in R
  • Hadoop platform
  • SQL databases
  • Artificial Intelligence and Machine Learning
  • Data visualization
  • Business strategy

Data Analyst

The data analyst’s job is to keep a company’s data safe by allowing stakeholders to understand it and utilize it to make business choices. This is a job in the technical field which requires an undergraduate or a master’s degree in science, computer modeling, or math.

Skills Required for Data Analyst:

  • SQL
  • Microsoft Excel
  • Critical Thinking
  • R or Python-Statistical Programming
  • Data Visualization
  • Presentation Skills
  • Machine Learning

Data-Science-Job

Data Engineer

Data engineers are IT workers whose primary task involves preparing data for analysis or operational use. They combine, consolidate and clean data and then arrange it for use in analytical applications. They strive to make data accessible to the masses and improve their company’s big data environment.

Skills Required for Data Engineer:

  • System for database management (SQL as well as NoSQL)
  • Solutions for data warehousing
  • ETL tools
  • Machine learning
  • Data APIs
  • Python, Java, and Scala programming languages
  • Learning the fundamentals of distributed systems
  • The ability to understand algorithms as well as data structures
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Data Architect

An information architect (DAR) is an (IT) expert who creates and oversees the operation of data systems. Establishes policies on the way data are stored, and access is made, coordinates data types within an enterprise, and incorporates the latest data technologies in the existing IT infrastructures.

Skills Required for Data Architect:

  • Business Skill
  • Programming Skills such as SQL, Python, and Java
  • Data Modelling
  • Applied Math’s and Statistics
  • Design Skills
  • Machine Learning and Natural Language Processing
  • Excellent Communication Skill
  • Databases and Cloud Architecture
  • Ability to utilize various tools for designing and visualizing
  • Creative and Analytical Problem Solving

Machine Learning Engineer

An engineer in machine learning (ML engineer) is a professional working in IT focused on research developing and building automated AI (AI) systems that automate predictive models.

Skills Required for Machine Learning Engineer:

  • Applied Mathematics
  • Computer Science Fundamentals and Programming
  • Machine Learning Algorithms
  • Data Modelling and Evaluation
  • Neural Networks
  • Natural Language Processing
  • Communication Skills

Business Intelligence Developer

An engineer is a business intelligence specialist who utilizes business intelligence software to analyze and present data to a company. They often develop tools or fix current techniques to improve the organization’s research procedure.

Skills Required for Business Intelligence Developer

  • Data preparation
  • Data mining
  • Analysis of statistics
  • Descriptive analysis
  • Data visualization
  • Business Knowledge
  • Data Reporting

Database Administrator

Database administrators ensure databases run efficiently. Administrators and architects of databases design or arrange systems to keep and protect a range of information, like the customer’s financial information and shipping records. They also ensure they can access the information to users who are authorized.

Skills Required for Database Administrator

  • Patience
  • Meticulous attention to detail
  • A method of working that is logical.
  • Ability to prioritize tasks
  • Skills for problem-solving
  • Excellent organizational skills
  • Skills in interpersonal communication and communication
  • Experience with operating systems for computers and databases technology

Now you’ve got a clearer idea of the top data science jobs to use your specific skills.

Conclusion:

The top 10 most paid jobs in data science in India. Data science is changing the way we think about it. We have discussed the role and qualifications required for some of the best-paid jobs in the field of data science. We also examined the most prominent companies that hire experts in this field. Candidates with the right capabilities can earn up to 26,00.000 per year working for big companies such as Walmart. Glassdoor estimates the median salary for data science professionals in India at about Rs 12,00,000.00 per year.

But these data science jobs are typically tasks that require the background of a scientist. Furthermore, the need and availability of professionals from the field of data science on the job market today are not in sync. Therefore, those aspiring to improve your abilities, acquire the required credentials, and take the next step on the career route you want to follow!

If you’re looking for ways to increase your abilities and learn about the latest technologies, get your hands on in the area of Data Science with AI Patasala’s Data Science Course in Hyderabad program; start now!