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Who is a Data Scientist?
Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway ~ Geoffrey Moore
A data scientist is an individual who helps the organisation make the right decisions and strong marketing strategy in the global marketplace. A data scientist is an analytical professional who manages data and identifies trends using his or her knowledge of social science and technology. To find solutions for business problems, he or she uses industry expertise, contextual comprehension, and approaching issues with a critical mindset.
Day-to-day technology advancement and the generation of huge volumes of data have increased the opportunities for data scientists nationally and internationally. The data scientist jobs include computer science, mathematics, and statistics. Data analysis careers, big data careers and data mining careers require analytical and knowledge statistics to use their technological and social science expertise to recognise trends and manage information.
Quick Facts for Data Scientist
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Industry
Technology
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Average Salary in India
₹135000
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Suitable for
Male, Female, Others
A data scientist comes with no gender obligation. Men, women can easily take up this career.
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Any special needs
Yes
Everyday functions of a Data Analyst can be performed by candidates with special needs. What this industry needs is basically intelligence. So it is very obvious that people with physical disabilities can easily go for a career as a data scientist without any hesitation.
Table of Contents for Data Scientist
What is the role of Data Scientist?
Data science career in India is an interdisciplinary subject matter that utilises several statistical methods, scientific algorithms, information science, data assessment, and machine learning theories, as well as other similar subjects. It involves the extraction of relevant information from a wide data group to generate a strategy for businesses to understand their information and analyse them.
Individuals in the data scientist career path acquire an industry-specific understanding of analytical and programming skills. An organisation plans its business strategy and plans, based on the performance provided by a Data Scientist.
Data scientists determine the data to be collected by the company, establish strategies for modifying the data system to generate useful information and work with many other data and analytics departments.
They are liable for the cleaning of huge large amounts of data and allowing analytical ability to survey the data and identify business requirements.
They perform an analytical role in developing, applying, and analysing complex computational equations and application methods in some of the most complicated problems of the business.
They play a strategic role in introducing new and innovative strategies for recognizing market trends and behavioural patterns in the business, and also ways of solving critical business challenges, such as product quality and total revenue.
Data scientists spend a considerable amount of time researching and planning solutions within the company for existing problems.
Types of a Data Scientist
There are various types of careers in the data analyst career path whether it be data analysis careers, data mining careers or big data careers. We have mentioned below the major job roles that one can opt for after graduating from a data science course.
Data Developers: Data developer is a data engineer who is skilled with user experience and is also knowledgeable about business value. Data developers recognize business objectives and are therefore not confined to store, retrieve, information flow issues. IT Engineers, Data warehouse developers or software developers may also be known as data developers.
Database developers are able to gather data before creating the database. They develop, build, evaluate, introduce and manage new databases as well as current ones. Developers of the database build management techniques and processes to access data stored in databases safely.
Data Researcher: A Data Researcher is liable for collecting and analysing the data, securing and regularly enhancing the quality of data from an institution and working with the research group to analyse information in a logical manner. Their job description includes supporting the research department in monitoring and evaluating all facets of the institution's business and using data analysis for services, company ventures, and activities in business growth.
Market Research Analyst: Market Research Analysts evaluate consumer behaviour to help businesses in deciding how their services and products should be formed, marketed, and commercialised. Several market research analysts are working for contractually hired consultancy firms. Else work directly at product companies as part of a marketing team for business owners.
Market research analysts collect and interpret information about customers and competition. Market research analysts analyse market dynamics to look at future product or service sales. They help companies in understanding and producing products that consumers want.
What is the workplace/work environment of Data Scientist like?
Data scientists operate mostly at the offices. However, they might require travelling sometime to meet clients. Individuals in the data scientist career path convert research and facts into simple insights, to support businesses and organisations, so that they could know how to make smarter business decisions.
A career as a data scientist involves the collection of numbers to find out a number of products, like pricing, manufactured innovations, reducing shipping charges, or addressing the issue which impacts the businesses. Individuals in the data scientist jobs typically employ computer and software programmes to calculate their statistics.
Does Data Scientist require travelling?
Likely
A career as a data scientist involves travel both internationally and domestically frequently for the purpose of providing data access control, guidance, and supervision for major shareholders or other related companies. Political data science careers require attending meetings, seminars and conferences, and meeting clients and other professionals.
Time Pressure
Likely
Data Science is a profession that requires a lot of hard work, persistence, and supervision. There are a lot of tasks for data scientists to perform within a day. Hence, the time pressure is immense. Meeting deadlines, completing projects, holding meetings, performing data refining and other significant research requires a lot of time management.
How to become a Data Scientist?
Steps to become a Data Scientist
Are you curious about how to become a Data Scientist in India? Whether you are a student pondering a career path after the 10th or 12th grade, or someone with no prior experience in the field and looking for the answer to the question how to become a data scientist with no experience, this section will guide you through the how to become a data scientist step by step to embark on a fulfilling journey towards becoming a data scientist in India.
What are the skills and qualities required to become a/an Data Scientist?
Along with the proficiency with technical tools one must have relevant soft skills in order to function as a data scientist. We have discussed below what skills will help an individual in his or her data science career.
Communication Skills: The data scientist's communication skills are a must, in both written and verbal manner. To clarify complex mathematical material to senior data scientists and other stakeholders, a data scientist would need to communicate well. Therefore, with clear advice and observations specific to the audience at hand, they must have the ability to translate and tailor this technical content into relevant business material.
Analytical Skills: A data scientist must understand the methods of data mining and be able to utilise such strategies in real-world business problems. Individuals in the data scientist career path would display a skill for the company to analyse data, and recognize trends, problems or data analysis requirements.
Strong fundamentals in statistical analysis are essential but thinking regarding challenges through a kind creative and analytical perspective is even more important. It will assist the scientists in producing active research questions that will help employees know the subject.
Technology Skills: An applicant for this role requires to be technically advanced, demonstrate exceptionally good computer skills, and demonstrate an interest in science, statistics, and data processing as also a basic competency and desire to develop and implement effective data analysis strategies within a company.
Individuals in the data scientist career path must be trained in at least one language and therefore should possess some specific skills. Individuals who opt for a career as a data scientist use computer languages such as R and SAS for data collection, data processing, statistical analysis, and data display.
Interpersonal Management: A data scientist always needs to acknowledge positive characteristics that would suit him for the task, such as possessing the capability to work in a group or collaborative setting. He or she needs to be result-oriented, to be detail-oriented, a strategic and analytical thinker and also need to possess superior leadership skills.
Computer Skills: The important aspect to remember is that every Microsoft Excel-related analytical tool. The important advantages of entering an advanced Excel programme significantly increase productivity by saving the cost, becoming an expert in managing spreadsheets, efficiently developing charts and figures, and enabling a comfortable environment to operate.
Which certifications and internships can be helpful in becoming Data Scientist?
There are various types of data scientist certification that help in improving the data scientist skills required to become a successful data scientist. Please note that these certifications are not mandatory but we recommend individuals to complete in order to gain hands-on experience.
Internship Availability
An Internship is an initial step towards a career. It provides an entry-level work experience which someone gets from a company. Interns are usually university or graduate students and also most internship programmes span from a month to three or six months. An Intern will be liable for employing statistical methods to give information into user data to direct decision-making and improve customer service.
In certain situations, interns in data science are termed data analysts. In a data science career, individuals spend most of their time reviewing data from the research and submitting their conclusions to the group. For other instances, computer science and mathematical activities are assigned to them, like research into new methods or artificial intelligence strategies.
Data Scientist Jobs and Salaries
Senior Data Scientist
- Average Salary 220000
Job Description
Data engineers are able to identify trends in data sets and for designing algorithms to help make the company 's raw data more reliable. This IT task requires a considerable range of professional skills, such as in-depth knowledge of SQL database design and multiple languages.
Salary Description
The career as a data scientist is one of the highest paid careers nowadays. Senior Data Scientist salary in India ranges between ₹ 9.9 Lakhs to ₹ 50.0 Lakhs with an average annual salary of ₹ 26.8 Lakhs as per AmbitionBox report.
Source: AmbitionBox
Junior Data Scientist
- Average Salary 50000
Job Description
Roles in data analytics include data collection and clean-up to disclose business trends and insights. Data analyst's day-to-day role varies depending on the industry or the type of expertise in data analytics they want. Data analysts may use business intelligence tools, Tableau, and programming to create dashboards, plan, and maintain inter-department relationship databases and frameworks throughout their organisation.
Salary Description
In data science, salaries are centred on the various departments and the place that one holds. The salary increases steadily for experienced workers. The average income for a junior data analyst is up to 6.7 lakhs per year.
What is the job outlook for Data Scientist?
Industry estimates suggest a potential for 11 million data science jobs in India by 2026. The increasing importance of data scientists will give an indication of data science career growth. Effective data analysis applications would also help e-commerce companies to predict transactions, revenues, and failures, and sometimes even manipulate people to purchase stuff by monitoring their behaviours and attitudes.
Data sciences include the immense potential in providing information into the development and preparation of transportation infrastructure in the data analyst career path. Analytics from this collected data are essential in building sustainable competitive advantage, improving system accuracy and managing risk.
The data science market in India is expected to experience significant growth in the coming years. A report predicts a jump from $204.23 million in 2023 to $1.391 billion by 2028, reflecting a Compound Annual Growth Rate (CAGR) of 57.5%.
Frequently Asked Questions for Data Scientist
Que. What does a data scientist do?
Ans.Data scientists are working closely with the company stakeholders to recognize their objectives and to assess how data could be used to accomplish the desired objectives. They design processes for data modelling, generate algorithms and predictive analytics to extract meaningful information, the business needs, then assist evaluate the data and share information and insight with coworkers.
Que. Is being a data scientist a good career?
Ans.Not only data science will offer a great career but it would also support you in your self-improvement. You could have a problem-solving outlook. You will be able to fully enjoy the best experience although most data science positions bridge IT and Management.
Que. Do data scientists code?
Ans.Yes, data scientists are able to code and If individuals have a data engineer or a machine learning engineer, that could help them place their code into production and finalize some of the things they do.
Que. Who is eligible for a data science course?
Ans.The basic data scientist qualifications include a Bachelor's degree in science, business management, engineering, computer applications, or mathematics or a Master's degree in statistics, finance, or mathematics with 50 per cent or equivalent scores.
Que. Is a data scientist similar to a software engineer?
Ans.Data scientist duty involves the dashboards for data processing, machine learning, algorithms and business intelligence. A software engineer develops programmes and applications. Developers will be actively engaged from design to coding, running tests and analysis throughout all stages in the project. So, yes we can that these two professions are not similar to each other.
Que. What are the working hours of data scientist in India?
Ans.Data scientists in India typically work around 40-45 hours a week, but the workload can vary depending on the organization and specific projects.
Que. Is it hard to become a data scientist?
Ans.Yes, becoming a data scientist can be challenging due to the required skills in programming, statistics, and domain knowledge, but with dedication and the right resources, it's achievable.
Que. Can I become a data scientist in 1 year?
Ans.While it's possible to learn the basics of data science in a year, becoming proficient often takes more time and experience to master the necessary data scientist skills and build a strong portfolio.
Que. Can a BCA student become data scientist?
Ans.Yes, BCA (Bachelor of Computer Applications) students can become data scientists with additional training and education in data science, including programming languages, statistics, and machine learning.
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Questions related to Data Scientist
NIT Jalandhar or PEC in terms of placement, if getting same stream in both?
Hello student,
When comparing NIT Jalandhar and PEC (Punjab Engineering College) for placements, both colleges offer good opportunities, but there are some differences to consider:
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Placement Rate : Both have strong placement rates, but PEC, being an older and more established institute, often attracts more high-profile companies, especially for core branches like CSE, ECE, and Mechanical.
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Average Package : PEC generally offers slightly higher average packages, particularly in branches like CSE and ECE, as it is located in Chandigarh, a corporate hub. NIT Jalandhar, however, also has competitive placements with good packages, especially for CSE.
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Location Advantage : PEC’s location in Chandigarh provides better internship and job opportunities due to proximity to corporate offices and industries compared to Jalandhar.
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Alumni Network : PEC has a longer-established alumni network, which can be beneficial for placements and networking.
Overall,
PEC might have a slight edge in placements
if both colleges offer the same stream. However, both institutions are reputable, so you can expect good placement support at either one.
I hope this answer helps you. If you have more queries then feel free to share your questions with us we will be happy to assist you.
Thank you and wishing you all the best for your bright future.
Answer laterwhat are the opportunities for btech in electronics and communication engineering with specialisation in data science?
hello Aspirant ,
The study of Electronics and Communication Engineering with Specialization in Data science has become essential to cater the growing need for professionals and researchers to deal with the future challenges. You can go for a Masters in Science in fields like Telecommunication Engineering, Microelectronics & VLSI Design, Electronics Design and Technology, Wireless Communication, Signal Processing, Robotics, Embedded Systems or VLSI System Design. If you aspire for managerial roles, you can go for a Masters in B
Research and development
Electronics engineers can follow the M. Tech- Ph. D- Research path innovation and development is what interests them. Organizations like ISRO, DRDO, SAIL and BHEL lead in the research field and are ideal workplaces to engineer new and better technologies for the enhancement of the communication and signal systems.
hope this information was useful .
thank you .
What is the difference between Bsc data science and BSc IT (data science) in terms of curriculum? Which is more useful?
So you can have a rough idea about the two courses but which one is better is something only you can decide as you will know better which subject interests you more.
which is better to choose between BSc in IT (data science) from MAKAUT and BSc in Data science from TIU? Which is more useful curriculum for future industry?
Hello Apu sarkar, Both the Universities are best for bsc and infastructure is also good but facilities are more in TIU like sports campus, wifi campus, and many more and they all are not in MAKAUT and placement is also good at TIU. So I personally preferred you to go for TIU.
Hope it will be helpful for you :)
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Did you know?
Fact 1
1.7 megabytes of new information would be generated each and every second.
Fact 2
Every day one billion pieces of content are shared through Facebook's Open Graph.
Fact 3
There are plenty of digital frames of information in the universe as there are stars.
Fact 4
70 per cent of the data is generated by individuals, but 80 per cent of the data is stored and managed by companies.
