Top 8 Data Science Companies

Big Data has spread around the world since the 1960s. We now have enormous, complicated data sets thanks to the development of big data, which may help us understand more business issues than before. In order to evaluate this data for commercial insights, data science organizations have been springing up in every sector.


This entire business possibility instantly converts into job possibilities. The sector is expanding at a rapid rate despite the fact that few colleges offer programs in data science. There is a tonne of data science firms, and practically every large corporation has several data scientists working for a company. To have the right skills, it is important to enroll in the best data science courses.


When looking for the best data scientist employer, there are several factors to consider. You can be restricted geographically, prefer working for local data science companies, or just wish to undertake data scientific work in a certain industry. You could like working for companies that put their customers first and provide you a lot of freedom to follow your own data science interests.


Companies That Harbour Data Science:



  1. Oracle: Oracle offers a pretty unique cloud platform that lets its users use predictive analysis, visualizations, and machine learning models to make use of their data. You get to create all of these amazing tools and models for end-users to utilize with their data as a data research scientist on this platform.


You have great potential with this type of employment to raise the standard of living for your clients. You can work in marketing, and product design with a data science focus, discover innovative ways to organize and analyze unstructured data, or look for meaning in the chaos.



  1. Amazon: One of the finest companies, if you want to work as a data scientist, would be Amazon, which has long since moved beyond its roots as a simple online bookstore. The company with the biggest individual market share in the cloud services sector is Amazon Web Services (AWS). When talking of the big enterprises of Data Science, Amazon is a titan that uses data scientists to offer data science & Machine learning (ML) services with the AWS (Amazon Web Services) cloud services.


In addition to its AWS-centered data science offerings, Amazon provides its online retail clients with anti-fraud technologies that use machine learning to detect fraud amid the large volume of transactions.



  1. Microsoft: Microsoft offers a tonne of amazing initiatives and products that are data science-focused. Microsoft is a corporate behemoth and remains a powerful data science organization, despite being recognized for its enterprise and consumer services. As an illustration, they have a program named AI for Earth that equips people striving to better the environment with their Cloud and AI capabilities. To enable technological development for sustainability initiatives, they create open-source tools, data, APIs, and models. In order to reduce the "data desert" and address the gaps in AI data sets for people with impairments, they also have the AI for Accessible program.

  2. Delta: Although the airline with its headquarters in Atlanta may not come to mind right once, Delta should be included among the data science firms. On a scale that has never been accomplished by an airline, Delta integrates machine learning into decision science. Data scientists at Delta imitate operational difficulties using past data to develop solutions that have the least negative impact on customers. It's reassuring to find one airline that is utilizing the potential of data to enhance the passenger experience after being irritated by the incompetence of many others.

  3. NVIDIA: NVIDIA is one of several data science firms. Nvidia created "accelerated analytics," which processes data up to twenty times faster without restructuring, using GPUs like the NVIDIA DGX A100s. Always remember that time is money in the business world, and these improvements have greatly increased the success of Graphics Cards of NVIDIA. To prepare them for handling large volumes of data, they make their data scientists are working with state-of-the-art processors and graphics cards.


You have the chance at NVIDIA to enhance the efforts of data scientists all across the world. NVIDIA is one of the top data science firms to work for because you can multiply the effectiveness of data science work.



  1. Cloudera: Customers may mix cloud services with Cloudera since it bills itself as a "hybrid cloud provider." This implies that you may combine multiple data sources to provide more insightful consumer insights. Due to its robust and adaptable cloud data platform, Cloudera stands apart from other data science organizations. Their hybrid Cloudera data platform (CDP) cloud is located where the client's data resides, which makes it run more quickly and securely.

  2. Numerator: One data science company that focuses on consumer insights for eCommerce is Numerator. Numerator emphasizes how simple their product is to use and states that it may be released 72 hours after purchasing.

  3. Splunk: The major offering from Splunk is a central data platform that enables customers to securely monitor, look into, analyze, and act on their data in order to run more effectively. They have outlier identification, forecasting, event grouping, and predictive analytics built-in. In terms of data science firms, Splunk will be a wonderful fit for you if you have a penchant for rigorous machine learning models.


Conclusion


Data scientists are employed by many businesses. Jobs in data science involve either using a customized platform for data science or machine learning or applying data science to a different sector. Your hobbies will determine which organization and job are ideal for you.


If you have a strong commitment to preserving the environment, you might wish to work as a data scientist on a Microsoft initiative called AI for Earth. The best online data science Bootcamp covers the skills required to get hired. However, Numerator could be a better fit if you have a genuine passion for pure data as well as an interest in eCommerce.  You have a lot of options, which is fantastic news.