Marg Career Library - Data Scientist

Overview:

Data scientists work with vast amounts of data to collect, visualise, analyse and deliver meaningful information. They use a range of tools, databases, programming languages, and software to work with data. These professionals can help organisations understand customer behaviour, produce relevant products, compete in the market, as well as promote customer experience. A data scientist usually has adequate knowledge in mathematics, statistics, computer science, and business. They also develop algorithms and codes to produce meaningful information automatically out of the data that has been collected.

Career Path:

Stream of Study at 12th:	Students who wish to become data scientists can opt for any stream at the 12th level but can preferably opt for the Science stream.
Degree/Graduation Courses:	Pursue B.Sc. in Data Science for 3 years Pursue B.Sc. in Mathematics for 3 years Pursue B.Sc. in Applied Mathematics for 3 years Pursue B.Sc. in Statistics for 3 years Pursue B.Sc. in Physics for 3 years Pursue B.Sc. in Computer Science/Computer Application/Information Technology for 3 years Pursue Bachelor of Computer Applications (BCA) for 3 years Pursue B.A. Economics for 3 years Pursue any B.Tech/B.E. course for 4 years
Higher education/After Graduation Courses:	Pursue M.Sc. in Data Science for 2 years Pursue M.Tech in Data Science and Machine Learning for 2 years Pursue MBA in Data Science and Data Analytics for 2 years Pursue any M.A./M.Sc./M.Com course for 3 to 4 years Pursue any M.Tech/M.E. course for 3 years Pursue Advanced Program in Data Science for 1 year Pursue Post Graduate Program in Data Science for 9 months Pursue PG Program in Data Science and Business Analytics for 11 months Pursue PG Program in Data Science and Engineering for 9 months Pursue any other Diploma or Certificate course in Data Analytics/Data Science/Machine Learning/Big Data/Data Mining/Artificial Intelligence/Business Analytics

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Top Colleges:

Indian Institute of Technology
Indian Institute of Information Technology and Management
Indian Institute of Science, Bengaluru
Vellore Institute of Technology, Vellore
Birla Institute of Technology (BITS), Pilani
Amity University, Noida
Jain (Deemed to be University), Bengaluru
Symbiosis Centre for Information Technology, Pune
International Institute of Information Technology, Bengaluru

Job Opportunities:

Healthcare organisations
Telecom industries
Retail outlets
Insurance agencies
Banking and financial service organisations
Private companies or organisations
Public and private businesses

Job Responsibilities:

Identifying problems that can be resolved using data science
Framing organisational issues to evaluate using data science
Pull data from various sources, merge it and analyse it
Cleansing and validating the data collected from different sources
Learn and utilise a range of tools, software, databases, and technology to manage the data and its processing
Effectively use data visualisation tools
Write and develop codes or algorithms to automate data processing
Interpreting data models and communicating the implications with the relevant team
Identify data science-based solutions for problems faced by the organisation or its clients
Make clear reports that tell compelling stories about how customers or clients interact with the company
Evaluate the efficacy of data sources and data collection techniques, and improve data collection methods
Keep up with the most recent technology, techniques, and methods
Maintain your curiosity and enthusiasm for using algorithms to solve problems, and inspire others to see the value of your work

Work Life:

Roles are typically office-based, and they will spend a significant amount of time at the desk
They may work individually or with a team
These professionals are required to collaborate with other teams regularly
Their work hours are generally fixed but may shift based on the work requirements
Data scientists work with a range of software, databases, tools, and technology daily
They will be required to use their skills to answer specific questions raised by the organisation, such as customer interests, sales of a product etc.
Working outside of core office hours or on weekends may be necessary at times, especially for short-term projects

Key Skills:

Patience
Communication skills
Mathematical skills
Problem-solving skills
Critical thinking skills
Business skills
Team working skills and a collaborative approach
Great attention to detail
Programming skills with different languages
Familiarity with different databases and software
Ability to effectively use data visualisation tools

Designation:

Entry-level

Data Analyst, Junior Data Scientist, Data Architect, Data Engineer, Business Analyst

Mid-level

Business Intelligence Analyst, Database Administrator, Business Analytics Manager, Big Data Specialist

High-level

Senior Data Analyst, Senior Data Scientist, Senior Business Analyst, Data Visualization Consultant

Merits & Demerits:

Merits

1. It is an upcoming field with great scope
2. The profession can be highly challenging and satisfying
3. The remuneration and perks of this profession are rewarding
4. It is a well-respected profession
5. This profession offers creative expression through numbers

Demerits

1. The profession may require breaching data privacy of customers
2. It can be a highly competitive field
3. The knowledge gained is domain-specific and does not allow you to shift between domains
4. It requires expertise in a range of topics and fields
5. Any mistake or error by these professionals could lead to severe consequences
6. The field is constantly updated; hence you can never be an expert

Overview
Career Path
Top Colleges
Job Opportunities
Job Responsibilities
Work Life
Key Skills
Designation
Merits & Demerits

Data Scientist

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