Top 5 Data Science Companies to Work for in 2021

Data is one of the most crucial assets for any organization. From healthcare to financial firms, every industry has begun to recognize the need for data-driven business operations. As such, the demand for highly skilled data scientists is on the rise. With the increase in competition between organizations, companies are ready to pay handsome salaries for the field’s best talents. If you are looking for the top data science companies to work for, here are some of the best ones out there.

Which company is best for data science:

1. Oracle

Oracle is known for its innovative database software and technologies, cloud engineered systems and enterprise software products. The vast majority of Fortune 500 companies use Oracle products and services. 

Oracle was founded in 1977 with its headquarters at Redwood City, California. Today, it has more than 135,000 employees in over 72 countries. It is also regarded as one of the best data science companies to work for, both for freshers and senior data scientists. 

The average salary of Data Scientists at Oracle is $1,40,110 per annum. 

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Notable Projects

  • Oracle Database

Oracle Database is the first database designed to run on a grid infrastructure. It supports many Internet standards and is continuously improved upon to exploit other advancements such as cloud technologies.

  • Oracle Advanced Queues 

Oracle Advanced Queues (AQ) is the first database integrated messaging system. Messages can be stored and sent between queues on different machines and databases using Oracle Net Services, HTTP and SMTP. 

We will now look at the next data science company.

2. Amazon

Amazon is a multinational technology company which focuses on e-commerce, cloud computing, digital streaming and artificial intelligence. It is considered as one of the Big Five - the most dominant companies in the information technology industry. Amazon is not just a great data science company to work for, but it is also one of the most valuable brands in the world. Amazon has millions of customers, and hence provides various opportunities for data scientists to explore large data-driven projects. 

Amazon was founded in 1994 by Jeff Bezos as an online marketplace to sell books. It is headquartered at Seattle, Washington State, and has over 1,000,000 employees across dozens of offices in more than 30 countries.

The average salary of a Data Scientist at Amazon is $121,707 per annum.

Notable Projects

  • Alexa

Amazon’s Alexa data from customers that further used to refine their website, algorithms, and overall sales process. There have also been reports that Amazon may open up some of this data to outside developers.

  • Data-driven Dynamic Pricing Algorithm

Amazon leverages the extensive amounts of data they collect everyday to refine and produce a dynamic pricing algorithm. With this algorithm, the price of an item changes every 10 minutes to ensure that prices are always competitive.

3. JP Morgan Chase

JP Morgan Chase is a financial services company with its headquarters in New York City. It is known for its innovative data-driven solutions that has helped a significant number of financial organizations. If you are interested in working with data related to finance, JP Morgan is the perfect company to work for.

JP Morgan was founded in 1871 as a commercial and investment banking institution. Today, it has expanded to providing analytic solutions to financial organizations. JP Morgan has more than 250,000 employees in 60 countries around the world.

The average salary of a Data Scientist at JP Morgan is $97,484 per annum.

Notable Projects

  • Easier and Smarter Financials

JP Morgan has over 320 petabytes of financial data. Using these massive amounts of data, they detect patterns in the financial market to help banks identify risks or possible opportunities to make more money.

  • Transaction Control Optimization

JP Morgan has employed the “Nine Levers Of Data Optimization” to transform data into actionable insights. The first six levers are all about optimizing payment authorization data. The last three levers are all about using insights from data to lower the cost of payment acceptance for a merchant. 

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4. Teradata

Teradata is an enterprise software company that provides cloud and hardware-based data warehousing, business analytics, and consulting services to its customers. If you are interested in working for a pure data-focused organization, Teradata is the perfect data science company to work for.

Teradata was founded in 1979 in Brentwood, California, as a collaboration between researchers at Caltech and Citibank's advanced technology group. It has over 8,535 employees in 61 offices across the world. 

The average salary of a Data Scientist at Teradata is $83,961 per annum.

Notable Projects:

  • Pervasive Data Intelligence

Teradata provides real-time, intelligent answers, regardless of scale or volume of query, whether it be on-premises, in the cloud, or anywhere in between. Only Teradata has the industry-leading products, expertise, and services to deliver this intelligence.

  • Teradata Everywhere

Teradata Everywhere is the first Massively Parallel Processing (MPP) analytic database customizable across multiple public clouds, managed clouds, VMware virtualization, and purpose-built appliances. It allows users to submit queries against public and private databases.

5. Accenture

Accenture is a multinational professional services company comprising Accenture Strategy, Accenture Consulting, Accenture Interactive, Accenture Technology and Accenture Operations. Accenture Interactive is focused on providing data analytics and mobility services to its customers. 

Accenture has been on Fortune’s list of the 100 Best Companies to Work For 12 years in a row. Founded in 1989, Accenture has over 505,000 employees across 53 countries today.

The average salary of a Data Scientist at Accenture is $105,155 per annum.

Notable Projects

  • Big Success With Big Data

Accenture recently conducted a unique research on Big Data by interviewing thousands of executives from several industries, located in 19 countries around the globe. The survey led to several significant findings useful for further research on big data.

big data

Fig: Importance of big data based on organization’s spendings (source)

Fastrack Your Data Science Career With a Certification

By choosing the best data science companies out there, you can get started on your journey to a promising future. However, due to the significant rise in competition, there is a huge need to stand out from the crowd. A Data Science certification from a reputed organization can help you get a leg up in the competition and take your career forward. Simplilearn offers a number of data science certification courses that will help you fasttrack your career and prepare you for the top data science companies you want to work for.

About the Author

Nikita DuggalNikita Duggal

Nikita Duggal is a passionate digital nomad with a major in English language and literature, a word connoisseur who loves writing about raging technologies, digital marketing, and career conundrums.

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