A data scientist is a specialist in the analysis and interpretation of data in order to derive important insights and enable data-driven decision-making. Data collection, cleaning, and preparation, exploratory data analysis, statistical analysis, machine learning model creation, and data visualization are just a few of the many duties that they handle.
Their main responsibility is assisting businesses in utilizing data effectively. India is increasingly adapting more calculations and building data hubs in every industry. The Number of data scientists is growing from 2740 in 2018 to 16,500 by 2025 which is almost responsible for giving you all an opportunity to learn data handling and extract data from analytics through skill courses such as Digital Marketing.
Table of Contents
Data scientists in India's salary
Entry Level Data Scientist
Mid-level Data Scientist
Senior Data Scientist
Which degree is best for a data scientist?
Is a Data Scientist a stressful job?
7 skills every data scientist must have
What are the main roles of a Data Scientist?
Data Science Executives
Data Scientist's Salary in India
Data scientist with little or no experience (0–2 years)
Salary range: ₹4,000,00 to ₹7,00,000 annually.
Data scientist in mid-level (2–5 years of experience)
Salary range: ₹8,00,000 to ₹15,00,000 annually.
Senior Data Scientist (5 years or more of experience)
Average Salary: between ₹15,000 and ₹25,000 per year.
Entry Level Data Scientist (with 2 years of experience)
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Base salary: $60,000 to $120,000 per year depending on location and company
- Bonuses and stock options: Some companies offer value-based bonuses or stock options, which can add to total compensation.
Mid-level Data Scientist (3 to 5 years of experience)
- Base salary: $90,000 to $160,000 per year
- Bonuses and stock options become more significant as you gain experience, potentially adding thousands of dollars to your compensation.
Senior Data Scientist (Salary as per 5+ experience)
- Base salary: $120,000 to $250,000 per year or more
- Bonuses and stock options: Senior data scientists often receive higher bonuses and stock, which significantly increases their total compensation.
Base salary: $150,000 to $300,000 per year or more.
Bonuses and stock options: Compensation for lead or principal data scientists can vary widely but often includes generous bonuses and stock options, especially at large tech companies.Base salary: $170,000 to $350,000 per year or more.
Bonuses and stock options: In addition to higher base salaries, data science managers and directors may receive greater performance-based bonuses and stock grants.
Read More: Data Scientist Salary In India 2022, Latest Payscale, Job Profile, And Openings!
Data Science Executives (as per VP or C-level)
- Base salary: $200,000 to $500,000+ per year, depending on company size and industry
- Bonuses and Stock Options: Executives generally receive good bonuses, stock options, and other perks.
You should note that these figures are approximate and vary by location (with higher salaries in cities like San Francisco, New York, and Seattle), industry (tech companies often pay more than non-tech industries), and personal negotiation skills.
What are the main roles of a Data Scientist?
The roles and responsibilities of a data scientist include extracting different types of data, using machine learning tools to organize the data properly, processing, cleaning, and validating the data, and extracting information and patterns. To analyze the data, develop a prediction system, and present the data in a clear manner.Related: Artificial Intelligence and Data Science Jobs: Skills, Salary per month, Vacancies and more
7 skills every data scientist must have
Check out 7 Essential Skills for a Data Scientist
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Programming. ,
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Statistics and Probability. Must be.
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Data wrangling and database management. should be
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Machine Learning and Deep Learning. should be
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Data visualization.
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Cloud computing.
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Mutual skill
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Usually, this is a stressful job for data scientists to spend hours on end. Sometimes they work as a team and often they work alone. Generally, their working hours are longer than the 9-5 job routine, especially when they are working on a project or solving a problem to complete their project.
Which degree is best for a data scientist?
The most important requirement for Data Science is to have a bachelor's degree in Computer Science and Mathematics. It is common for those graduate students who are interested in making a good career in Data Science. These others include data analytics, statistics, information technology, business, engineering, and physics.A data scientist is a good professional who is responsible for collecting, analyzing, and interpreting data to help in making decisions in any organization. The role of a data scientist is similar to that of mathematicians, such as subject scientists. , and combines elements of many traditional and technical jobs, including computer programming. It is based on scientific principles and uses advanced analysis techniques such as machine learning and predictive modelling.
As the first part of data science, data scientists often develop and test hypotheses, predict and predict customer and market trends, risk such as risk, cyber security threats, stock trades, equipment maintenance needs, and even medical Analyzing things like situations requires working with the largest amounts of data. And they do this too.Upgrade your skills with digital marketing today click here for more info:
