35 Data Science Companies You Should Know

Big Data can reveal details about consumer behavior, indicate trends and provide other decision-making insights. But combing through it is no easy task. That’s where data science comes in. 
Staff Reporter
October 18, 2021
Updated: June 29, 2022
Staff Reporter
October 18, 2021
Updated: June 29, 2022

Every time you buy something online, sign up for an email list or click through a company’s website, you generate data. Consequently, as internet commerce increases, so does the amount of digital information that’s collected. Many businesses retain a ton of it. 

The tech term for this phenomenon is Big Data. And while it can reveal details about consumer behavior, indicate trends and provide other decision-making insights, combing through it to find these things is no easy task.

That’s where data science and data science companies come in. 

The field is composed of highly knowledgeable experts who know how to “extract meaning from and interpret data, which requires both tools and methods from statistics and machine learning, as well as being human,” Cathy O’Neil and Rachel Schutt write in their book, Doing Data Science.

Employing persistence and software engineering skills, the authors explain, these folks collect, clean, and munge (similar to rearranging) data, “because it’s never clean.” 

If that doesn’t sound like “the sexiest job of the 21st century,” then take it up with the Harvard Business Review

Seriously though, these George Clooneys of the tech world are in high demand. Why? Because today’s torrent of data is continuous and someone needs to tame it.  

Alexandria Jacobson contributed reporting to this story.

Top Data Science Companies

  • Numerator
  • Cloudera
  • Splunk
  • Alteryx
  • Civis Analytics
  • Sisense
  • Oracle
  • Looker
  • Teradata
  • Accenture

Oil giant Shell, for instance, used data science to anticipate machine failure at facilities across the world. Agricultural company Cargill developed a mobile data-tracking app that helps shrimp farmers reduce mortality rates. Dr. Pepper Snapple Group analyzed data with machine learning to glean more details about beverage sales and vendors. And freight company Pitt Ohio used historical data and predictive analytics to estimate delivery time with 99 percent accuracy.

If only there were enough data scientists to go around.

“There are very few data scientists out there passing out their resumes,” LinkedIn co-founder Allen Blue said at the Wharton School of Business earlier this year. “Data scientists are almost all already employed, because they’re so much in demand.”

In LinkedIn’s 2020 Emerging Jobs Report, data science topped the list for the third year in a row, indicating that the field is seeing continuous growth. As companies hunt for in-house data scientists, several firms have stepped in to fill the gap by offering data science as a service.

Here are 35 important data science companies to check out — in Chicago, New York City, North Carolina and beyond.


Location: Austin

How it’s using data science: Unified helps companies better understand omnichannel digital marketing. Its platform acts as a central data hub so businesses can monitor their performance and devise advertising strategies, and the company’s analysts help clients interpret their data.


Location: Irvine, California

How it’s using data science: Alteryx is a self-service data analytics company that helps businesses analyze their own data instead of relying on data scientists. 


Location: Waterloo, Ontario, Canada

How it’s using data science:  OpenText Analytics uses an array of software products to spot patterns, relationships and trends in data sets. In addition, its visualizations and interactive dashboards help users interpret their digital information.

Location: San Diego, California

How it’s using data science: The Teradata Vantage platforms helps businesses manage and analyze data. Teradata Vantage is also integrated with popular third-party tools and languages so customers can run their own analysis without learning new software.

Location: San Francisco

How it’s using data science: Splunk is a software company that serves clients in the IT, cybersecurity, Internet of Things and data analytics sectors. Its business analytics platform helps businesses visualize and interpret their data by seeing it in context.

Location: Chicago

How it’s using data science: Civis uses a blend of proprietary technology and statistical advisory services to provide businesses with so-called “person-level” data. Its primary focus is helping organizations understand people through data analytics.


Location: Redwood City, California

How it’s using data science: Because online businesses are generating more data than ever, the company believes that data analysis should be continuous. That’s why Sumo Logic delivers real-time data analytics through a cloud-based platform.


oracle data science companies

Location: Redwood City, California

How it’s using data science: Oracle sells database software, cloud products and other enterprise software. Its May 2018 purchase of DataScience.com allowed Oracle’s clients to reap the benefits of machine learning and predictive modeling.

Location: San Francisco

How it’s using data science: Databricks interacts with cloud-based corporate information and allows companies to unify their data, analytics, and AI in one place on its Lakehouse Platform. The company works with big name partners like Microsoft, Amazon Tableau and Informatica.

Location: New York City

How it’s using data science: Sisense’s business intelligence platform helps data engineers, analysts and developers connect and prepare data, securely manage it, embed analytics and explore insights across devices.


Location: Dublin, Ireland

How it’s using data science: Accenture, the global professional services company specializing in digital, cloud and security, has acquired several data science companies to grow its expertise in AI, analytics and data. Most recently, the company acquired BRIDGEi2i in October 2021. It’s an AI and analytics firm specializing in data-driven digital transformation by combining data engineering, advanced analytics, proprietary AI accelerators and consulting services for faster and more accurate decision-making.

Location: Chicago

How it’s using data science: Numerator is a market intelligence firm that analyzes merchandising and sales data from retail locations, e-commerce sites and big box stores so companies know what their consumers are buying and why. The information that Numerator provides can help companies improve brand strategy, advertising, distribution and pricing decisions.


Location: Chicago

How it’s using data science: By monitoring trends and analyzing data, Spins provides retail consumer insights to retail brands that promote healthy living. Clients include organic and natural food companies and those that sell wellness-oriented products.


Location: Cary, North Carolina

How it’s using data science: Employing statistical analysis, SAS’s platform helps organizations better understand and draw value from the data that their businesses generate. For example, the company applied advanced analytics and AI to sensor data from client Volvo Trucks, which helped predict maintenance issues and minimize downtime.



Location: Northbrook, Illinois

How it’s using data science: Mu Sigma is an analytics and data science company that works with businesses in a variety of sectors, including technology, media, retail, finance, science, healthcare and hospitality. Its services help clients make data-driven decisions.


Location: Palo Alto, California

How it’s using data science: Cloudera transforms complex data sets into actionable insights. In addition to providing an enterprise data cloud, which allows data to be accessed from anywhere, the company uses machine learning to automate analysis.


Location: Mountain View, California

How it’s using data science: Orbital Insight culls data from satellite images and analyzes it using artificial intelligence in order to find trends and produce insights. For example, the company can sift through thousands (or even millions) of images of a country to pinpoint where it’s developing. On a smaller scale, it can look at a large farm and predict agricultural trends.


Location: Schaumburg, Illinois

How it’s using data science: Acer helps large companies extract value from the data they collect. Customers use Acer’s predictive analytics platform and forecasting models to determine the best course of action for their business.


corterix data science companies

Location: San Francisco

How it’s using data science: Corterix designed a central platform that crawls structured and unstructured data and puts it into a single Structured Query Language database. From there, developers can more easily write code that analyzes data.


Location: San Francisco

How it’s using data science: Mixpanel is an analytics platform that lets businesses study user behavior across their websites and apps. Companies can also use this data to run experiments, set goals and form hypotheses.


cazena data science companies

Location: Waltham, Massachusetts

How it’s using data science: A self-described “big-data-as-a-service” company, Cazena builds software to help enterprise companies migrate their data and run database analytics.


Location: Burlington, Massachusetts

How it’s using data science: Dimensional Insight’s Diver Platform is used for data management, governance and analytics. Diver pulls data from multiple sources and displays metrics on informational dashboards.


Location: Santa Clara, California

How it’s using data science: The Qubole Data Platform uses machine learning and artificial intelligence to analyze and extract value from business data. Cloud-based and integrated with a variety of coding languages and open-source tools, the platform learns from user behavior in order to automate data processing.


Location: College Station, Texas

How it’s using data science: StataCorp creates statistical software for obtaining, manipulating and understanding data.


Location: Cary, North Carolina

How it’s using data science: D4t4 Solutions creates products for data collection, management and analytics. The company also works to maintain security certifications in order to protect the data it handles.


Location: Zurich, Switzerland

How it’s using data science: Knime builds data science software that helps interpret data and make predictions. The company’s open-source analytics platform uses statistics and AI to create data science applications and services.


Location: Santa Cruz, California

How it’s using data science: Designed to be accessible and comprehensible for both data analysts and business teams, Looker’s data platform creates reports and data visualizations that are shareable and easy to read.


Location: Fremont, California

How it’s using data science: Infometry’s services include the implementation of data warehouses, enterprise performance management, business intelligence, big data analytics and predictive analytics. It’s focused on turning raw data into actionable insights.


Location: San Mateo, California

How it’s using data science: SnapLogic’s self-service platform lets analytics and business teams more quickly and easily exchange data and make decisions.


zoomdata data science companies

Location: Reston, Virginia

How it’s using data science: Zoomdata’s big data platform quickly processes large amounts of data. It can be deployed internally by company employees or embedded in customer-facing systems. 



Location: San Francisco

How it’s using data science: Noodle.ai’s software aims to prevent disorder across entire supply chains and applies advanced data science to restore flow to businesses.


Location: Westport, Connecticut

How it’s using data science: TEG uses data science to help organizations make better decisions at the intersection of business, technology and applied mathematics. TEG’s IntellMix brings together tech, machine learning and storytelling capabilities. 


Location: Alameda, California

How it’s using data science: Absolutdata offers a suite of AI-based products and advanced analytics services, including its NAVIK AI Platform that blends AI, technology, data and analytics to clients to enhance customer loyalty and accelerate revenue cycles.


Location: Linthicum, Maryland 

How it’s using data science: Impact Analytics builds 360-degree AI-powered retail automation products to allow businesses to automate their workflows and formulate data insights. 


Location: Santa Clara, California

How it’s using data science: Tiger Analytics offers data analytics and predictive modeling solutions for clients in retail, social media and online advertising sectors.


Images via Shutterstock, company websites and social media.


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