6 Top Leading Companies to Work for as a Data Scientist

Data science is one of the innovative and developed fields in the 21st century that has changed human life’s perspective.

Decision-making based on data is the need of the hour for all types of businesses nowadays. Simply, this means how we collect, distribute, study, manage, and act upon data will be the main task for each data-driven organization.

The data science market is expected to grow by $16 billion by 2025, and the same will happen to data science jobs.

Data science is one of the innovative and developed fields in the 21st century that has changed human life’s perspective. Data Science combines several concepts, theories, and computer science applications, mathematics, information science, and domain knowledge.

 

An emerging number of sectors are waiting to be enhanced by data science techniques, bringing more jobs for professionals with effective data science skills.

 

If you have the abilities and interests, you can see yourself growing as a successful data scientist. Keep scrolling to know the best leading  data science companies to work for.

 

Best Leading Data Science Companies to Work For

 

You may be speculating in which industries data science is widely used, where data scientists actually work, or which is the ideal industry for a data scientist. Here are the top 6 data science companies to work for and accomplish your career goals.

  • Amazon

If you want to work in the field of data science in industry like eCommerce, then Amazon is one of the biggest corporate giants that allow professionals to work globally and will bring a challenging working environment.

The eCommerce business of Amazon has been accumulating essential data from every one of its users which needs expert-level data scientists. Might be, it is not one of the Data Science service providers, but it does conduct analysis of data on every possible level.

 

Amazon Data Science division is always seeking freshers with excellent professional skills. Besides, you are required to have hands-on experience in working with big data solutions such as Hadoop, etc.

  • Microsoft

Microsoft has plenty of decent data science focused products and projects. While they’re renowned as a prestigious software company, Microsoft is a phenomenal tech giant and a challenging data science company.

 

For instance, they have one project known as AI for Earth which includes people using various AI and Cloud tools to make the environment better. They build data, open-source tools, APIs, and well-designed models to promote technology advancement for sustainability efforts.

  • Genpact

With 1500+ data scientists working in a team, Genpact comprises a big centralized hub model for providing an excellent experience as their key motive. Furthermore, the company strives to increase its pool through self-developed programs based on machine learning.

 

The role of data science in industry like information technology is progressing. Being one of the top IT and professional service providers, Genpact allows data professionals to pitch more RD projects, become a crucial part of the global learning workforce, and take part in ML/AL conferences across the world to grow in the data science field.

  • Aditya Birla Group Data and Analytics (DNA) Cell

With rising competition in the market as well as data size, Group Data and Analytics is expanding with time and plays an important role in the Aditya Birla fraternity.

 

The team includes over 50+ members with experts, product managers, and data science professionals who help make proper strategic decisions for organizations and use big analytics to improve business operations as well as consumer experience.

It consists of a team of young members and provides leadership decisions to the group. It offers complete freedom for team members to experiment, work in various domains, and show their expertise.

  • Google

Google is itself a big library that has plenty of information about anything you would like to learn.

When it comes to emerging/futuristic technology, Google is leading like any other corporate giant. For data science and data analytics, it uses its own tools. They can be easily embedded in a website’s code to extract a great amount of information about the traffic it gets.

 

This data is then utilized to create customized reports for more insights. Google Analytics Academy is an outstanding resource for receiving online training for Google Analytics tools and knowing various techniques – on-demand and free of cost.

  • Airbnb

Airbnb has worked a lot to grow in the travel industry. Airbnb has made the best use of professional data scientists. According to the previous head of data science, Airbnb sees data as the voice of the consumer, and data science as the explanation of that voice.

 

The use of data science in industry like travel helped Airbnb not just to provide better services, but also to hire the right people.  

 

Final Thoughts

There are many big companies that hire skilled data scientists. Data science jobs require either an exclusive platform for ML or the use of data science in various industries. Choosing the ideal company as well as the position totally depends on interests. Ensure that you make a wise choice that takes your career to the next level.


Divyanshi Kulkarni

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