Data scientists can apply a wide range of skills to data and information. This also assists businesses in making better strategic decisions. Many exciting new fields of data science are emerging, including Artificial Intelligence (AI), Machine Learning (ML), and Big Data.
What Does the Future Hold for Data Scientists?
Data analytics is becoming mission-critical as the number of agencies grows. One of the most difficult challenges they face is recruiting data scientists.
Co-founder of LinkedIn, Allen Blue, made a statement. Almost all data scientists already have jobs thanks to high demand.
Blue claims that this demand now extends beyond just the software and high-tech industries. Over the past three years, jobs related to data science have experienced "enormous growth — 15 to 20 times growth" in sectors like education, marketing, and manufacturing. The mismatch between organizational requirements and job candidates' capacity to fulfill those requirements is widening.
The future data scientist will be able to handle the most business-analytical and complex challenges, allowing their companies to make revolutionary leaps forward.
We need people with a variety of skills, including insights, data visualization, machine learning, coding, and data preparation, to make sense of the enormous amount of data that is collected every day and use it to solve business problems, identify trends, and make decisions that will support new ideas. With an IBM-accredited data science course in Mumbai, anyone can develop data science and AI skills in their preferred domain.
These skills include:
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Passion for numbers — Individuals with a background in math, statistics, and the sciences perform well in data research and analytics. Those with master's degrees in these fields can easily transition to data science.
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Technical skills — Data scientists must enjoy working with computers and have computer coding skills. Knowledge of technologies such as Hadoop or coding languages such as Python, R, and others.
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A Fair for design — The ability to graphically interpret information for business audiences is essential.
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A creative bent — Within a minute, data scientists should be able to create a big picture from the data they're seeing.
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Communication Expert — Data scientists must be able to easily communicate their findings to business people to demonstrate their statistics' value.
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Counseling ability — In addition to being able to explain their findings, data scientists must make recommendations based on their findings. Candidates with knowledge of general business best practices or of a specific industry can stand out.
With data scientists in high demand, those looking to make a career in data science will most likely find openings across various enterprises.
Factors Contributing to the High Demand for Data Scientists
Below are the top six reasons why data science is in high demand these days -
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Companies are facing data-handling challenges.
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Scarcity of skilled resources
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Multi-factors are challenging to come by.
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Other professionals face entry barriers.
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Excellent Pay
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Multiple Roles
Average Salary for Data Science Job Roles
Organizations are paying data science professionals a lot of money because of the need for data analysis and management.
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Data Scientist - $119,500
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Data Architecture - $100k for
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Business Analyst - $65k
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Data Analyst - $62k
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Data Engineer - $95k
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Database Administrator - $68k
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Data and Analytics Manager - $116k
Data scientists are paid well in all of these industries. According to Burtch Works, the median salary for a junior data scientist is $91,000, while those managing teams of ten or more data scientists can earn up to $250,000. Additionally, Glassdoor ranked data science as one of the top 25 jobs for 2023 and the fifteenth most lucrative sought-after occupation. So what are you waiting for?
Get started with a data science certification course in Mumbai, to build a lucrative career in top MNCs.
