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Data Scientist Jobs in India: Roles & Responsibilities, Required Skills & Experience, Top Industries, Training & Courses & Top Companies to Work For

The Data Scientist Job was named “the sexiest job of the century” by Harvard Business Review. India has 50, 000 open positions for Data Analysts, according to a June 2017 study by Analytics India Magazine. So, what does a data scientist do? What are the key roles & responsibilities of a data scientist? What are the required skills and experience in order to get hired as a data scientist? We will look into these answers in this post. Additionally, we will also have a look at the top employment sectors, top companies and best training courses (online) for data science.

 

Roles & Responsibilities of a Data Scientist

 

The role of data scientists is becoming more and more important as businesses are increasingly relying on big data and data analytics to drive decision making and growth hacking. Data scientists work towards the discovery of meaningful insights from massive amounts of data by implementing special software. A data scientist proactively fetches information from various sources and analyzes it for a better understanding of how the business performs. They are responsible for organizing and presenting the results to the key stakeholders and investors in an easy-to-understand manner. Additionally, a data scientist also builds machine learning (ML) and artificial intelligence (AI) tools that automate certain processes within the company.

Data Scientist Jobs in India
Image Credit: Edureka

 

The data analyzed by a data scientist is often termed as the big data. There are two types of big data – structured data and unstructured data. Structured data is typically organized and easy to sort out by a system. Structured data range from data collected by services, products and electronic devices to the website traffic data, sales figures, bank account information, GPS coordinates collected by a smartphone. This kind of data is rarely collected from human input.

 

In contrast, unstructured data is likely to come from human intervention – customer reviews, emails, social media posts, videos, etc. This kind of data is the fastest growing form of big data. Typically, the unstructured data is not streamlined; hence, more difficult to sort through and less efficient to manage with technology. Typically, a data scientist is hired to pull out relevant data using relevant keywords and make sense of the unstructured data. Whereas, other IT professionals are responsible for managing and maintaining structured data. Read more about the roles and responsibilities of a data scientist.

 

Top Technical Skills & Experience Required for Data Scientist Jobs

 

Data Scientist Jobs in India
Image Source: LinkedIn

 

  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Experience with common data science toolkits, such as R, Python, Weka, NumPy, MatLab, etc
  • Experience with data visualization tools, such as D3.js, GGplot, etc
  • Proficiency in using query languages such as SQL, Hive, Pig
  • Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
  • Excellent applied statistics skills, such as distributions, statistical testing, regression, etc.

 

You might also like the following articles:

 

Top 10 Skills to Succeed in 2019 as a Data Science Experts

Top 5 Skills to Kickstart Your Data Science & Analytics Career and How to Build Them

How to Stay Competitive in the 21st Century Job Market – Part 1

 

Top 7 Industries for Data Scientist Jobs in India

E-Commerce

The websites and e-commerce sites are collecting more data than ever, and this will keep on increasing. Offerings include Cross-selling, re-marketing, packaged services, customized offers, or personalized products. As a data scientist, you will be responsible for helping an e-commerce business to understand buying patterns, search histories, and behavioral analysis. Secondly, you will also help to improve customer service and develop a relevant portfolio of services and/or products.

 

Banking

The banking sector is always under the threat of frauds, hacking activities, and other cyber-crimes. Data science is very useful to detect irregularities, manage customer data and mitigate financial risks. As a data scientist in the banking domain, you will be playing a pivotal role in monitoring the financial markets and implementing network analysis for detecting and countering malpractices. Besides, you will also need to take care of improving customers’ regular banking experience.

 

Finance

Finance is traditionally all about numbers, and the financial market is one of the most unpredictable sectors. So, the requirement for integration of mobile feeds, real-time market insights, customer sentiment analysis, and transaction details with the historical data is on an all-time high. Data science can help the finance sector in running real-time analytics, automating risk credit management, countering fraudulent activities, and predicting market disasters. Besides, a data scientist in the finance domain will also be responsible for data security & compliance.

 

Healthcare

Providing the right healthcare at the right time is essential. This can be achieved if the large and updated electronics datasets get analyzed efficiently. Data scientists can help healthcare professionals by discovering trends in the population and thus ensuring better support for public health and safety.

 

Telecommunications

All telecom companies have access to a huge amount of customer data that needs to be stored, managed, maintained and analyzed. Using demographic as well as behavioral data, data scientists can help the telecom companies to strike the chords with their customers at every touch point, and optimize the diversity in the offered services.

 

Travel & Tourism

The travel industry has always depended on treating statistics to provide the best possible service. At present, the travel industry takes it further to what is called an ultra-personalized product and service offering. Using data to predict when people will travel, companies can provide the exact service their customers need at the best time and at the right price. In-depth 360-degree view of the customers, as well as a multi-layered data analysis across touch-points, helps the companies identify most-valuable customers, cross-sell partner products, and offer extensively customized products and services to its customers.

 

Energy

By using data insights companies can make energy provisions more efficient and cut costs significantly. Power plants can predict the energy demands during a specific time of a day or season by studying the historical data. This will help the energy industry to strike a balance between providing good customer service and making profits. Finally, data science and analytics can also help the industry towards attaining sustainability.

 

Top (Online) Training Courses for Getting Jobs as a Data Scientist

 

Executive Data Science – Johns Hopkins University

Applied Data Science with Python – University of Michigan

Machine Learning A-Z™: Hands-On Python & R In Data Science – Udemy

Applied Machine Learning in Python – University of Michigan

Big Data Specialization (6-Course) – UC San Diego

Python for Data Science and Machine Learning Bootcamp – Udemy

Data Analysis and Presentation Skills – PwC

A Developer’s Guide to Exploring and Visualizing IoT Data – IBM

Data Science Specialization (9-Course) – Johns Hopkins University

Learning Python for Data Analysis and Visualization – Udemy

SQL for Newbs: Data Analysis for Beginners – Udemy

Data Science A-Z™: Real-Life Data Science Exercises – Udemy

Data Science, Deep Learning, & Machine Learning with Python – Udemy

Cluster Analysis and Unsupervised Machine Learning in Python – Udemy

Deep Learning A-Z™: Hands-On Artificial Neural Networks – Udemy

 

Top 25 Companies for Data Science Jobs in India

 

  • Fractal Analytics
  • MuSigma
  • Deloitte
  • Amazon
  • Flipkart
  • Crayon Data
  • LatentView
  • Absolutedata
  • Manthan
  • LinkedIn
  • IBM
  • Myntra
  • Accenture
  • Citrix
  • Global Analytics
  • Paytm
  • Gramener
  • Convergytics
  • Cartesian Consulting
  • Tiger Analytics
  • Brillio
  • BRIDGEi2i
  • Hansa Cequity
  • EXL Analytics
  • MakeMyTrip

 

Sources: Edvancer, GreyAtom, ManipalGlobal

 

You might also like the following articles:

 

10 Super exciting Data Science / Machine Learning / Artificial Intelligence-based startups in India

10 Most Influential Analytics & Data Science Leaders in India – 2017

 

Want to know if Data Science/Analytics is the Right Career for You? Take our Free Online Career Guidance Test to assess your signature strengths and career options. This test has been taken by more than 25, 000 students and professionals over the last 10 years (in offline mode) to select their subject streams and right careers to suit their strengths, interests and career goals.

Author: Tanmoy Ray

I am a Career Adviser & MS Admission Consultant. Additionally, I also manage online marketing at Stoodnt. I did my Masters from the UK (Aston University) and have worked at the University of Oxford (UK), Utrecht University (Netherlands), University of New South Wales (Australia) and MeetUniversity (India).

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