With internet penetration getting deeper globally, the amount of data generated per second is huge. When you buy something online, fill out a form, click open an email, sign up for a free course, or basically do any activity online, you are generating data. With the storm of data that is growing each day, organisations need data scientists to tame it and make sense of it all for their benefit. Hence there is a huge number of vacant data science jobs in the US economy. Big Data reveals the information about consumer behaviour, indicates trends and patterns, and provides crucial insights for better decision making. Surfing through this vast pool of data to find such insights and trends is a difficult task and hence the role of data scientist becomes all the more important. 

What does a Data Scientist do?

A data scientist is someone who has the capability to interpret data and extract meaningful information from it. This would require knowledge of various analytics tools and statistical methods. Also, knowledge of machine learning and strong human tendencies such as logic, common sense, strong visualisation ability and more. Prior to interpreting, data scientists collect and clean the data to make it usable, as the raw data is never clean. 

Glassdoor, a renowned platform for online jobs listing, has included data scientists in their list of Best Jobs in America. Also, the role of data scientist has made it to Glassdoor’s list of the highest paying jobs in America with an average annual salary of $96,116/-.

Data Science Use Cases

Deploying data science capabilities and applications have proven to be extremely beneficial and a game-changer for many top organisations. Some of the examples of these use cases are:

  • Shell, the oil giant used data science to anticipate the failure of machines at their facilities across the world.
  • Cargill, a renowned agricultural firm helped shrimp farmers to reduce the shrimp mortality rate by developing a mobile data tracking app.
  • Dr Pepper Snapple Group used machine learning to analyse data in order to gain more details regarding their vendors and beverage sales.
  • Pitt Ohio, the freight company used predictive analytics on historical data to estimate delivery time with 99% accuracy.

Top 10 Data Science Companies in America 

Talking about employment as a data scientist or any other role, it is obvious that the applicant would want to work for the best company out there. Companies are judges on the basis of the organisational culture, remuneration they provide for their employees, and employee-friendly practices and policies at work. Here is a list of top 10 companies in America that data science professionals should apply for data scientist jobs and internship opportunities. 

1. Numerator

Glassdoor Rating: 4.1

Top Review: “Good work environment and great work-life balance.”

Salaries: 

  1. Data Scientist – $1,22,000 to $1,34,000 annually
  2. Lead Data Scientist – $1,70,000 to $1,84,000 annually

About the company: 

Numerator provides brands with real-time insights on what consumers buy and why. They suggest the type of ads, promotion, and pricing that drives consumer behaviour. They present a comprehensive overview of the market for their clients that guides and drives their activities. They also enable deeper connections with consumers by providing market intelligence to surface new opportunities, highlighting strategic growth paths for the business. Hence making it easy for the businesses to act and elevate their top line. 

2. Spins

Glassdoor Rating: 3.6

Top Review: “Work-life balance is what you choose it to be.”

Salaries:

  • Data Scientist – $74,000 to $1,29,000 annually

About the Company:

Spins provides retail consumer insights to retail brands that promote healthy living. They do this by analysing data and monitoring market trends. Their clients include organic and natural food companies and businesses that deal in wellness-oriented products. For their clients, they provide services like assessing their performance, engaging their consumers, identifying growth opportunities, and collaborating with retailers.

3. SAS Institute

Glassdoor Rating: 3.9

Top Review: “Work-life balance is encouraged” and “Flexible schedule and great benefits”

Salaries:

  • Data Scientist – $1,01,347 annually
  • Senior Data Scientist – 1,47,601 annually
  • Data Scientist Intern – $73,000 to $79,000 annually

About the Company:

For organisations that are seeking immediate value from their data, SAS is a trusted analytics powerhouse. A range of analytics solutions and immense industry knowledge help them to serve their customers in a way that they keep coming back. With SAS solutions clients discover insights from their data to make sense of it, apply it into decision making, reap immediate benefits and feel confident of the future. SAS helps its clients in identifying what’s working and fix what is not, make more intelligent decisions, and drive relevant change.

4. MU Sigma

Glassdoor Rating: 3.2

Top Review: “Steep learning curve and high career growth rate after working here.”

Salaries:

  • Data Scientist – $56,000 to $65,000 annually
  • Associate Data Scientist – $87,000 to $95,000 annually

About the Company:

MU Sigma claims to accelerate the journey from data to decision by providing sophisticated solutions that involve data engineering, data science, and data decisions to enable decision support. It is an analytics and data science company that works with businesses across industries and sectors including media, technology, retail, science, finance, healthcare, and hospitality. 

5. Cloudera

Glassdoor Rating: 3.5

Top Review: “Great people and work-life balance”

Salaries:

  • Data Scientist – $1,43,000 to $1,54,000 annually
  • Senior Data Scientist – $1,50,000 to $1,60,000 annually

About the Company:

Cloudera delivers enterprise data cloud that provides cloud-native services. It manages and secures the entire data lifecycles from the ingest stage to the experimentation and from the Edge to AI in any cloud or datacenter. It also uses machine learning to automate analysis.

6. Splunk

Glassdoor Rating: 4.1

Top Review: “Work-life balance and employee-care emphasized at all levels of management”

Salaries:

  • Data Analyst – $81,000 to $1,68,000 annually
  • Data Engineer – $1,66,000 to $1,78,000 annually

About the Company: 

Splunk drives outcomes across IT, Security, DevOps, and IoT sectors with a data platform built for the cloud. Its business analytics platform helps the clients in visualising and interpreting their data by seeing it in context. 

7. Narrative Science

Glassdoor Rating: 4.1

About the Company:

Narrative Science provides a storytelling product built for business users making analysis and data management easy for anyone to understand and communicate to others. They help access and understand data insights and easily explore these insights for decision making.  

8. Unified 

Glassdoor Rating: 3.9

Top Review: “Flexible work privileges.” 

Salaries:

  • Data Scientist – $1,33,000 to $1,43,000 annually

About the Company:

Unified provides comprehensive paid social advertising solutions at scale and expert services are paired with advanced technology that maximises paid social advertising investments. It achieves social marketing results for clients through innovative operations and insights platforms. It relentlessly focuses on creating value for clients and operates businesses sustainably and profitably. 

9. Orbital Insight

Glassdoor Rating: 4.7

Salaries:

  • Data Scientist – $1,32,000 to 1,44,000 annually
  • Senior Data Scientist – $1,48,000 to 1,84,000 annually
  • Staff Data Scientist – $1,74,000 to 1,91,000 annually

About the Company:

Orbital Insight draws data from satellite images and analyses them to find trends and produce insights using artificial intelligence. It can sift through millions of images of a country to pinpoint where it is developing. It can also look at large farms and predict trends and agricultural trends. 

10. Mixpanel

Glassdoor Rating: 3.6

Top Review: “Super motivated team and smart people”

About the Company: 

Mixpanel provides powerful and self-serve product analytics to help its clients convert, engage, and retain more users. It has an analytics platform that helps businesses study their behaviour across clients’ apps and websites. Organisations also use their data to run experiments and set goals and form hypotheses. 

Also, if you wish to become a data science professional working in the United States, sign up for Great Learning’s PG Program in Data Science and Business Analytics to get certified.

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