With all the data being generated by online activities and the digital information that’s collected by businesses, it can pile up in a hurry. That’s where data science — and data science companies — come in to organize it.
Data science has blossomed into a thriving field, where plenty of organizations have job opportunities for data scientists to take on some of the industry’s most exciting challenges.
We’ve put together a list of data science companies that are making names for themselves while providing spaces for data scientists to contribute and grow.
Top Data Science Companies
- Accenture
- Databricks
- Splunk
- Teradata
- Oracle
- Sisense
- NVIDIA
Data Science Companies to Know
Location: Pasadena, California
Spokeo is an online search platform for finding information about specific people. Users can browse by name, email address, phone number or residential address to find out information about a person’s social media profiles, for example, or employment history. Spokeo organizes billions of records from various public sources to provide intelligence to millions of monthly visitors.
Location: San Francisco, California
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. For an even more connected experience, the Splunk cloud platform allows teams to collaborate across mobile, TV and augmented reality formats.
Location: Fully Remote
Analytics8 helps companies implement AI into their workflows. It works closely with businesses to provide AI readiness assessments before developing use cases, strategies and implementation. Apart from AI, Analytics8 provides consulting, cloud and data architecture services that enable companies to gain actionable insights.
Location: Austin, Texas
Oracle sells database software, cloud products and other enterprise software. Its cloud infrastructure works well for both multi-cloud and hybrid-cloud environments. As a result, companies can choose the cloud solution of their preference while meeting compliance standards and relying on AI and machine learning to better organize their data.
Location: Chicago, Illinois
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: Boston, Massachusetts
Jellyfish is an engineering management platform that comprises engineering data to fit with business objectives. The platform functions display how an engineering organization operates, what work they do and how teams are working. Outside of aligning data with business objectives, Jellyfish optimizes engineering operations, increases alignment for distribution teams, reports R&D costs and more.
Location: Milwaukee, Wisconsin
Northwestern Mutual, a long-tenured financial services institution, offers retirement planning, wealth management, insurance and more. The company has partnered with local universities to launch the Northwestern Mutual Data Science Institute. Its goal is to advance Wisconsin as a thriving tech hub and develop a pipeline for data science talent.
Location: New York, New York
Sisense’s business intelligence platform helps data engineers, analysts and developers connect and prepare and securely manage data, embed analytics and explore insights across devices. The platform also integrates with Office 365, Google Workspace and other applications, allowing teams to gather insights on their most-used tools.
Location: Westlake Village, California
PureSpectrum is an end-to-end market research and insights platform that uses automated survey creation to assist researchers. For over five years, the company has helped businesses discover quality samples, manage projects, collect consumer insights and monitor consumer behaviors. Businesses can also use the platform on customizable storefronts too.
Location: San Francisco, California
Data science professionals use Domino Data Lab’s enterprise platform to streamline building and management of artificial intelligence and machine learning solutions. Domino Data Lab’s technology helps address challenges across industries like life sciences, retail, manufacturing and insurance.
Location: Fully Remote
Tonic.ai, aka “the fake data company,” provides, quite literally, fake data. If that sounds dodgy, understand that software developers need realistic data to build and test their products, and they can’t use real data because it belongs to people. Thus, there is a great need for fake data and data de-identification tools to obscure and protect the privacy of real data. Tonic.ai uses machine learning to generate high quality fake data for the healthcare, finance, edtech, insurance and retail sectors.
Location: Austin, Texas
Striveworks believes a disconnect exists between data and data interpretation for decision-makers. So the company created a cloud-native platform that uses operational AI to simplify MLops and automate the data analytics process. With the platform, data scientists, software engineers and other professionals expect fast dataset preparation, trainable models and deploy data anywhere.
Location: Bagsvaerd, Denmark
Novo Nordisk is a global pharmaceutical company developing treatments for diabetes and other chronic medical conditions. The company invests heavily in data science, machine learning and AI to optimize its research capabilities. It also uses its AI for semi-complex tasks that supplement human analysis during research.
Location: Fully Remote
Through the practice of analytics engineering, dbts Labs is helping spread organizational knowledge. The company operates a SQL-first transformation workflow, allowing analytics code to be used. The workflow promotes collaboration among analysts and engineers to create, document and test data pipelines. Businesses can also purchase the Cloud Enterprise and explore features like automated dependency management, onboarding and integrations.
Location: San Francisco, California
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: Santa Clara, California
NVIDIA is a hardware and software producer that has expanded its presence in the AI sphere with its NVIDIA AI Enterprise product. This platform uses AI and data analytics software to help businesses better manage their data within multi- and hybrid-cloud environments. Teams can also train and refine AI models in a matter of hours without AI expertise.
Location: Dublin, Ireland
Accenture is 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. It has acquired several data science companies to grow its expertise in AI, analytics and data (for example, the company acquired BRIDGEi2i in October 2021).
Location: Santa Clara, California
Tiger Analytics offers data analytics and predictive modeling solutions for clients in retail, social media, online advertising and other sectors. Clients can work with Tiger Analytics to compile customer data, informing their omnichannel marketing strategies. Tiger Analytics has also found ways to derive predictive models from data, applying these models to areas like risk analysis and predictive maintenance.
Location: Palo Alto, California
Cloudera transforms complex data sets into actionable insights. With its hybrid data platform, Cloudera can process data across cloud and on-premises mediums for a customizable experience. In addition to providing an enterprise data cloud, the company uses machine learning to automate analyses.
Location: San Diego, California
The Teradata Vantage platform helps businesses manage and analyze data within a multi-cloud ecosystem. Because of its scalability, the platform can adapt to larger data sets and different types of data. Teradata Vantage also integrates with popular third-party tools and languages, so customers can run their own analyses without learning new software.
Location: Fully Remote
Enigma enables financial institutions to serve small business customers better. By sourcing data from public, proprietary and government entities, the company can map out a business’s online footprint. Additionally, Enigma has products to assist institutions in monitoring business transactions, discovering new businesses and identifying top businesses already in the database.
