Welcome to the world of Data Science, where data is the king and scientists are the knights. If you are a data science professional looking for a new job opportunity, you might be interested in learning about the best data science companies to work for in the USA. Data science is a rapidly growing field, and companies in various industries are seeking skilled professionals to help them make sense of their data and gain insights to improve their business operations.
Data science is a rapidly growing field and a crucial aspect of the modern world. With the increasing amount of data generated every day, businesses and different industries are looking for experts to analyze this data and draw meaningful insights. This has led to a surge in demand for data scientists, making it an excellent time to be in this field.
There are many factors to consider when looking for a job in data science, including the company culture, the type of projects you will work on, the compensation, and the opportunities for career growth. In this article, we will introduce you to the 21 best data science companies to work for in the USA, based on factors such as Salary, Career Growth Opportunities, Culture, Employee Satisfaction, Innovation, and Impact on the industry.
Top 21 Data Science Companies in the USA
SAP
SAP is a multinational software corporation that has its headquarters in Walldorf, Germany and has more than 10 locations in the USA. The company has a large data science team that works on developing and improving its enterprise software products. SAP offers competitive salaries and benefits to its employees.
- Headquarters – Walldorf, Germany
- Locations in USA – Newtown Square, Pennsylvania; Atlanta, Georgia; Bellevue, Washington; Chicago, Illinois; Dallas, Texas; Denver, Colorado; Houston, Texas; San Francisco, California and more
- Approximate no. of Data Scientist jobs – It currently has around 7,819 open data scientist positions, most numbers in USA.
- Average Salary – $155,000
Amazon
Amazon is a leading e-commerce company that heavily relies on data science and machine learning to make product recommendations, manage inventory, and improve customer experience. Amazon offers data science roles in areas such as data analysis, data engineering, and machine learning.
- Headquarters – Seattle, Washington
- Approximate no. of Data Scientist jobs – Over 2,000 Data Scientist Jobs
- Average Salary – $141,000
IBM
One of the top data science companies in the USA is IBM. Founded in 1911, IBM is a technology veteran that continues to pioneer new technologies. IBM provides data science solutions to businesses of all sizes, from startups to Fortune 500 companies. Their services include data analytics, cloud computing, artificial intelligence, and machine learning.
IBM has a strong reputation for innovation and has won numerous awards for its data science solutions. They have a large team of data scientists who are experts in their field and are always up-to-date with the latest trends and technologies. IBM is committed to diversity and inclusion, and they have a strong focus on ethical and responsible use of data.
- Headquarters – Armonk, New York
- Approximate no. of Data Scientist jobs – Over 2,000 Data Scientist Jobs
- Average Salary – $138,000
Google (Alphabet Inc.)
Alphabet Inc. is the parent company of Google. Google is a top data science company worldwide and has a strong presence in the USA. The company’s projects, such as Google Search, Google Maps, and YouTube, rely heavily on data science and machine learning to deliver their services. Google offers data science roles in areas such as machine learning, artificial intelligence, and big data.
- Headquarters – Mountain View, California
- Approximate no. of Data Scientist jobs – Over 1,800 Data Scientist Jobs
- Average Salary – $155,000
Facebook (Meta)
Facebook is a leading social media company that relies heavily on data science to personalize the user experience and deliver targeted advertising. The company has a large and growing data science team that works on projects such as natural language processing, computer vision, and predictive modeling. Facebook offers data science roles in areas such as machine learning, data analysis, and big data. Employees at Facebook enjoy a dynamic and fast-paced work environment, as well as opportunities for career growth and development.
- Headquarters – Menlo Park, California
- Approximate no. of Data Scientist jobs – Over 1,500 Data Scientist Jobs
- Average Salary – $146,000
Walmart
Walmart is a multinational retail corporation that has its headquarters in Bentonville, Arkansas. The company has invested heavily in data science to improve its supply chain and customer experience. Walmart has a large data science team that works on a range of projects, including machine learning and predictive analytics.
- Headquarters – Bentonville, Arkansas
- Approximate no. of Data Scientist jobs – Over 1,367 open Data Scientist Positions
- Average Salary – $98,348
Microsoft
Microsoft is a leading technology company with a long history of working with data science. The company has invested heavily in machine learning and artificial intelligence and offers data science roles in areas such as machine learning, artificial intelligence, and big data. Employees at Microsoft enjoy a dynamic and fast-paced work environment, as well as opportunities for professional growth and development.
- Headquarters – Redmond, Washington
- Approximate no. of Data Scientist jobs – Over 1,000 Data Scientist Jobs
- Average Salary – $138,000
Apple
Apple has invested heavily in machine learning and artificial intelligence and uses data science to improve Siri, Apple Maps, and other products. The company offers data science roles in areas such as data analysis, machine learning, and natural language processing.
- Headquarters – Cupertino, California
- Approximate no. of Data Scientist jobs – Over 1,000 Data Scientist Jobs
- Average Salary – $141,000
Palantir Technologies
Palantir is a data analytics company that specializes in working with large datasets. The company offers data science roles in areas such as data analysis, data engineering, and machine learning.
- Headquarters – Palo Alto, California
- Approximate no. of Data Scientist jobs – Over 1,000 Data Scientist Jobs
- Average Salary – $147,000
SAS Institute
When it comes to analytics solutions, SAS is a name that stands out as a trusted powerhouse in the field. Organizations seeking to extract immediate value from their data turn to SAS, thanks to their wide range of analytics solutions and extensive industry knowledge. With SAS at their side, clients are able to uncover meaningful insights from their data, make informed decisions, and enjoy the benefits of immediate results while feeling confident about their future.
SAS is a trusted partner for organizations looking to gain valuable insights from their data. With their extensive industry knowledge and innovative analytics solutions, SAS helps clients unlock the potential of their data to drive positive change and achieve their business goals.
- Headquarters – Cary, North Carolina
- Approximate no. of Data Scientist jobs – Currently has around 635 open Data Scientist Positions
- Average Salary – $104,555 per year
NVIDIA
The third top data science company in the USA is NVIDIA. NVIDIA is a technology company that specializes in graphics processing units (GPUs) and artificial intelligence. They provide data science solutions to businesses in a variety of industries, including healthcare, finance, and automotive.
NVIDIA has won numerous awards for its data science solutions, including the 2020 Gartner Peer Insights Customers’ Choice for Data Center Backup and Recovery Solutions. They have a large team of data scientists and engineers who are passionate about using technology to solve complex problems. NVIDIA is committed to sustainability and has set ambitious goals to reduce its environmental impact.
- Headquarters – Santa Clara, California
- Approximate no. of Data Scientist jobs – Over 600 Data Scientist Jobs
- Average Salary – $154,000
Oracle Corporation
Oracle is a well-established provider of enterprise resource planning software that helps companies effectively manage their daily transactions, streamline their operations and supply chain, and seamlessly communicate with other businesses.
At the heart of Oracle Corporation’s platforms is a powerful focus on data analytics, providing customers with the ability to deploy their models either virtually or on-premises. With Oracle’s analytics tools, clients are able to harness the power of machine learning, advanced visual representation, data navigation, and automated data preparation. This comprehensive suite of capabilities ensures that clients can effectively extract valuable insights from their data, enabling them to make informed decisions that drive business success.
- Headquarters – Redwood City, California
- Approximate no. of Data Scientist jobs – Over 447 open Data Scientist Jobs
- Average Salary – $122,707
Capital One
Capital One is a financial services company that heavily relies on data science to make business decisions. The company offers data science roles in areas such as data analysis, machine learning, and big data.
- Headquarters – McLean, Virginia
- Approximate no. of Data Scientist jobs – Over 400 Data Scientist Jobs
- Average Salary – $142,000
Uber
Uber uses data science to optimize ride routes, predict demand, and improve customer experience. The company has a data science team that works on projects such as machine learning, big data, and natural language processing. Uber offers data science roles in areas such as data analysis, machine learning, and big data.
- Headquarters – San Francisco, California
- Approximate no. of Data Scientist jobs – Over 300 Data Scientist Jobs
- Average Salary – $154,000
Airbnb
Airbnb is a rapidly growing travel and hospitality company that uses data science to personalize the user experience, improve pricing, and optimize search results. The company has a strong commitment to data science and offers data science roles in areas such as machine learning, data analysis, and big data. Employees at Airbnb enjoy a collaborative and inclusive work culture, as well as opportunities for professional development and advancement.
- Headquarters – San Francisco, California
- Approximate no. of Data Scientist jobs – Over 200 Data Scientist Jobs
- Average Salary – $155,000
Teradata Corporation
Teradata Corporation is a data analytics and consulting company that has its headquarters in San Diego, California. The company has a large data science team that works on developing and implementing data-driven solutions for its clients. Teradata offers competitive salaries and benefits to its employees.
- Headquarters – San Diego, California
- Approximate no. of Data Scientist jobs – Currently has 136 open Data Scientist Positions
- Average Salary – $155,000 per year
Yelp
Yelp is a platform that connects people with local businesses. With over 224 million reviews, Yelp generates a lot of data that needs to be analyzed to improve the user experience.
- Headquarters – San Francisco, California
- Approximate no. of Data Scientist jobs – Over 100 Data Scientist Jobs
- Average Salary – $145,000
Zillow
Zillow is an online real estate marketplace that provides information on homes, real estate, and mortgages. With over 110 million homes listed, Zillow generates a lot of data that needs to be analyzed to provide the best user experience.
- Headquarters – Seattle, Washington
- Approximate no. of Data Scientist jobs – Over 100 Data Scientist Jobs
- Average Salary – $155,000
Splunk
Splunk is a data platform that’s built for the cloud and is known for driving outcomes across multiple sectors, including IT, Security, DevOps, and IoT. Its business analytics platform is designed to help clients gain valuable insights from their data by visualizing and interpreting it within its context. Splunk’s powerful platform empowers organizations to leverage their data in new and exciting ways.
Splunk is a powerful data platform that enables organizations to unlock the full potential of their data. With its robust analytics capabilities, ability to provide context to data, and focus on security and scalability, Splunk is a trusted partner for organizations looking to make informed decisions that drive business success.
- Headquarters – San Francisco, California
- Approximate no. of Data Scientist jobs – Over 95 Data Scientist Jobs
- Average Salary – $150,850
MongoDB
MongoDB is a popular NoSQL database company that has its headquarters in New York City. The company has a large data science team that works on developing innovative solutions for its customers. MongoDB offers competitive salaries and benefits to its employees.
- Headquarters – New York City, New York
- Approximate no. of Data Scientist jobs – Over 86 Data Scientist Jobs
- Average Salary – $139,951
Databricks
Another top data science company in the USA is Databricks. Databricks provides a unified analytics platform that enables businesses to build data pipelines, run machine learning models, and collaborate on data science projects. Their platform is used by many of the world’s largest organizations, including Shell, HSBC, and T-Mobile.
Databricks has won numerous awards for its data science solutions, including the 2020 Gartner Peer Insights Customers’ Choice for Data Science and Machine Learning Platforms. They have a large team of data scientists and engineers who are dedicated to providing the best possible solutions to their clients. Databricks is committed to open source and has contributed to many popular data science projects, including Apache Spark.
- Headquarters – San Francisco, California
- Approximate no. of Data Scientist jobs – Over 71 open Data Scientist Positions
- Average Salary – $171,136 per year
Factors to Consider When Choosing a Data Science Company to Work For
Location
When choosing a data science company to work for, location is an important factor to consider. You should choose a company that is located in an area that is convenient for you to commute to and from, or that is located in a city or town that you would like to live in. Some companies may also offer remote work options, which can be a great option if you prefer to work from home or if you live in a different state or country.
Company Culture
The company culture is another important factor to consider when choosing a data science company to work for. You want to work for a company that has a positive and supportive culture, where employees are encouraged to collaborate and share ideas. Look for a company that values diversity and inclusion, and that has a strong commitment to ethical and responsible business practices.
Salary and Benefits
Salary and benefits are also important factors to consider when choosing a data science company to work for. You want to make sure that the company offers competitive pay and benefits packages that are in line with industry standards. Look for a company that offers health insurance, retirement plans, and other benefits that will help you achieve financial stability and security.
Career Growth Opportunities
Finally, you should consider the career growth opportunities that are available at the company. Look for a company that offers opportunities for professional development and advancement, such as mentorship programs, training programs, and leadership development programs. You want to work for a company that will help you grow and develop your skills, and that will support you in achieving your career goals.
Conclusion
We tried to bring you most updated and relevant information from multiple resources, hope this would give you an idea of Data Science Market in the USA. Now that you have learned about the top 21 data science companies to work for in the USA, you can start your job search with confidence. These companies offer great working environments, competitive salaries, and opportunities for growth and development.
Remember to do your research and find the company that aligns with your values, interests, and career goals. Consider the company culture, the type of projects they work on, and the technology they use. You want to make sure that you will be happy and fulfilled in your role.
If you are just starting your career in data science, look for companies that offer training programs, mentorship, and support. This will help you learn new skills and advance your career faster.
Finally, don’t be afraid to network and connect with people in the industry. Attend conferences, join online communities, and reach out to recruiters. You never know where your next opportunity might come from.
Happy Job Hunting :)
