22 Best Data Science Companies Hiring in 2023

Big data is transforming industries across the globe. As data increasingly help companies gain valuable insights and make more informed decisions, it’s no surprise that data science jobs are also growing exponentially. 

The U.S. Bureau of Labor Statistics estimates that job opportunities for computer and information research scientists—including data science roles—will grow 22% by 2030, which is much faster than the national average. And Glassdoor recently listed data science roles in its top three jobs this year. 

But with so many companies now hiring for data science roles, how do you know which company is the right fit for you? Here’s our list of the 22 best data science companies hiring right now. 

What Factors Make a Data Science Company Worth Working For?

Before joining the data science job market, you should know which companies will be the best fit for you. When looking for the best fit, ask yourself these questions:

• Am I interested in building the company’s projects and/or products?
• Does the company offer competitive compensation?
• Does the company provide comprehensive benefits like health/life insurance, paid time off (PTO), profit sharing, and retirement benefits?
• What’s the company’s current market reputation/public perception?
• Does the company foster a culture of trust, flexibility, collaboration, and positive feedback?

Now that you know what to look for in a data science employer, let’s dive into the top 22 companies hiring today:

Best Data Science Companies: The Big Names

1. Microsoft

Everyone knows Microsoft as a consumer software giant. But it’s also a great data science company to work for, as Microsoft offers a range of products for consumers, developers, and organizations. AI for Earth is a Microsoft initiative developing open-source tools, data, infrastructure, models, and application programming interfaces (APIs) to accelerate the use of artificial intelligence (AI) for environmental sustainability. They also have their AI for Accessibility project, which uses AI technology to empower people with disabilities. 

2. Amazon

Amazon Web Services (AWS), Amazon’s subsidiary cloud computing company, is currently the largest individual market shareholder in the cloud infrastructure service industry. It consistently relies on data to create the best customer experience across all Amazon platforms. Their Automated Reasoning project focuses on automating formal logical reasoning to improve the security, quality, and availability of Amazon’s products and services. And their Computer Vision project uses 3D modeling and imaging to help devices see and understand the visual world.  

3. EY

EY is a global accounting and professional services firm specializing in strategy, consulting, transactions, private company solutions, and corporate finance. EY uses data and augmented intelligence to enhance risk controls, re-engineer processes, and give its clients a competitive advantage. Analytics and AI are embedded into their business processes to generate new revenue opportunities, manage performance, and drive capital allocation strategies. EY utilizes data science for:

• Business transformation and growth
• AI consulting services
• Advanced analytics
• AI merger and acquisition tools

4. Google (Alphabet)

Google’s biggest asset is its data. It handles data from all websites using AdSense (Google’s advertising service) or Google Analytics. Then, Google utilizes this data to analyze customer behavior, and refine its host of products and services. Google offers excellent benefits and salaries that are much higher than the industry average.  

5. VMware

A cloud computing and virtualization company, VMware builds technology solutions for multi-cloud businesses. VMware relies on data science to drive research, including anomaly detection, cryptographic agility, cache-adaptive algorithms, and CloudCast. It also has a wide range of active projects like Project Pathway, Remote Memory, and Hillview. Working for VMware as a data scientist, machine learning engineer, or data analyst allows you to join a global community that’s solving critical technology challenges.

6. Walmart

Walmart has tons of existing data to analyze and is also committed to finding new and innovative ways to apply different kinds of data. Walmart engages in comprehensive data mining to discover point-of-sales data patterns, which are then used to make product recommendations, streamline their supply chain, optimize product assortment, and improve store checkout. 

7. JPMorgan Chase & Co.

JPMorgan Chase & Co. uses data analytics to identify patterns in its customers, and in the financial markets. Its vast customer dataset is analyzed to identify risks, find market opportunities, and increase revenue through customer operations. Fortune Magazine has consistently ranked JPMorgan as one of “America’s Ideal Employers” and as one of the “World’s Most Admired Companies.” 

8. PwC

PwC—an international network of professional services firms—utilizes data to assess risk premiums, evaluate the size of a given market, and improve its Total Impact Measurement and Management (TIMM) framework. It also offers comprehensive, flexible, and competitive benefits and salaries.  

Best Data Science Companies: Up and Coming

9. Splunk

Splunk is the world’s first data-to-everything central platform, which allows users to search, monitor, and analyze their data more efficiently. Users interact with a web-style interface and use advanced built-ins like outlier detection, predictive analytics, event clustering, and forecasting. These solutions help businesses enhance their digital customer experience, resilience, and cloud transformation. Splunk SOAR (Security Orchestration, Automation and Response), Cloud Platform, Infrastructure Monitoring, and Observability Cloud are all state-of-the-art, rapidly growing projects. Last year, Splunk was featured in Fortune‘s “Best Workplaces in the Bay Area” and CRN‘s “Coolest Cloud Software Companies.” 

10. Numerator

Numerator focuses on customer insights for eCommerce. Many Fortune 100 companies are Numerator clients, and its data scientists work with the client and consumer data to analyze purchase environments, sentiments, behaviors, and outcomes.  

11. Databricks

Databricks is a relatively new company with origins in academia and the open-source community. Its primary product is the Lakehouse Platform, an open and unified platform for data and AI that combines the best of data warehouses and data lakes. Many of the world’s largest organizations—including Shell, HSBC, T-Mobile, and H&M Group—rely on Databricks to enable massive-scale data engineering, business analytics, full-lifecycle machine learning, and collaborative data science.  

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12. Cloudera

Cloudera is a hybrid data cloud company that makes data and analytics easy and accessible for everyone. Clients can combine private and public clouds to unearth more powerful business insights. Cloudera operates within a broad spectrum of industries, including financial services, retail, technology, healthcare, education, and manufacturing.  

13. Teradata

Teradata is another multi-cloud data company providing database and analytics software, products, and services. The Teradata Vantage platform gives clients the flexibility and capabilities to handle massive and mixed data workloads. Teradata also offers cloud analytics, consumption pricing, and cloud data sharing services. You could build a data science career at Teradata in engineering, sales, marketing, consulting, or product management. 

14. Unified

Unified is a leading provider of data-driven social advertising services and solutions. It leverages its proprietary technology to analyze marketing data sets and optimize investments across the consumer journey. Many Fortune 500 companies rely on Unified for these services, and Unified is also a four-time winner of both Ad Age’s “Best Places to Work” and Crain’s “New York City Best Places to Work.”  

15. Alteryx

Alteryx is a leading IT service and consulting firm utilizing data analytics to help organizations solve business and societal problems. Alteryx offers an end-to-end platform that unifies analytics, data science, and process automation to deliver high-impact business outcomes. Its cutting-edge analytic process automation (APA) services turn data into actionable insights, empowering businesses to discover robust solutions. The Alteryx Analytics Cloud, APA Platform, Intelligence Suite, and Designer Cloud are all designed for optimal efficiency. 

16. Civis Analytics

Civis Analytics is a data science software and consultancy company that helps organizations use their data to gain a competitive advantage, fuel innovation, and boost customer engagement. Some of the country’s largest organizations—including Verizon, Discovery, Airbnb, and Boeing—are all Civis clients. Civis relies on an interdisciplinary team of data scientists, developers, and survey science experts to create tailored client solutions. This year, it was voted as one of Built In’s “Best Places to Work in Chicago.” 

17. Sumo Logic

An innovative data analytics company, Sumo Logic focuses on delivering real-time analytics to empower digital businesses. Its scalable, cloud-native Continuous Intelligence Platform enables smarter data-driven decisions and quicker investigations of security and operational issues. Sumo Logic works with Grammarly, Adobe, Airbnb, and The Pokemon Company to provide analytics, including log aggregation and security threats and vulnerabilities. Sumo Logic was featured in Forbes’ list of “Best Cloud Companies” and Fortune‘s list of “Best Workplaces in the Bay Area in 2020.”  

18. Sisense

Sisense is a business intelligence software company that delivers a seamless, simplified, and customizable AI-driven platform. The Sisense Fusion platform provides state-of-the-art data modeling, visualization, embedding, and connectivity capabilities for a range of departments and industries. Sisense was also listed as a “visionary” on the Gartner Magic Quadrant for analytics and business intelligence platforms in February of last year. Its clients include Skullcandy, ZipRecruiter, GitLab, GameDay, Interfolio, and Glytec.

Best Data Science Companies: Startups

19. Algorithmia

Algorithmia is a machine learning model deployment and management solution provider. Recently acquired by DataRobot, it utilizes world-class enterprise-grade infrastructure to manage the production machine learning lifecycle within existing operational processes. Thousands of non-governmental organizations, government intelligence agencies, and Fortune 500 companies leverage Algorithmia to operationalize their machine learning use cases. 

20. Resurface Labs

Resurface Labs specializes in continuous API security. Its primary product is its API management software, Resurface, which enables businesses to capture, store, and explore different API architectures. Resurface also allows clients to use actual user data for faster threat detection, improved troubleshooting, and smarter tests. Because it’s not software as a service (SaaS) company, it gathers real-time actionable data while maintaining private, first-party ownership. Working with Resurface offers a tremendous growth opportunity at a remote-first company. 

21. Cropin

Cropin is an Earth observation and AI-led AgTech organization enabling data-driven farming. It aims to “re-imagine agriculture with data” using a multi-disciplinary approach toward AI, earth observation, agriculture, meteorology, and computer sciences. Cropin leverages pixel-level data from satellite imagery to bring meaningful insight to improve the ag-ecosystem. Cropin currently provides SaaS solutions to 225 agribusinesses, and numerous governmental and non-governmental organizations in more than 50 countries.  

22. TheMathCompany

A hybrid business consulting and services firm, TheMathCompany builds custom AI enterprise applications. It leverages Co.dx, its proprietary AI master engine, to assist with data extraction, algorithm development, performance monitoring, and feature engineering. It has also been named among the Asia-Pacific’s fastest-growing companies by the Nikkei-FT-Statista APAC. 

FAQs About Applying To Work at a Data Science Company

What Red Flags Should You Look for When Considering a Data Science Company?

A vague job description is one of the first red flags you might spot. You want a clear picture of the projects you’ll be working on and the expertise you’ll need for the job. 

You should also be wary of opportunities that set unrealistic expectations with job responsibilities. Make sure the employer values a healthy work-life balance and will support your career progression. 

Are Data Scientists Paid Well?

Yes. Last year, the U.S. Bureau of Labor Statistics estimated that the mean annual salary for a data scientist was $108,660. This number should increase as the demand for skilled data scientists continues growing in the coming years. 

How Do I Get a Job as a Data Scientist?

Many different career paths can lead to a job as a data scientist. Check out our other blog posts to read more about learning data science from scratch, how to build an awesome data science resume, or the most common data science interview questions and answers. 

Since you’re here…
Thinking about a career in data science? Enroll in our Data Science Bootcamp, and we’ll get you hired in 6 months. If you’re just getting started, take a peek at our foundational Data Science Course, and don’t forget to peep our student reviews. The data’s on our side.