Top 5 Data Science Companies to Work for in 2024

Which Company Is Best for Data Science

1. IBM

IBM is an American multinational technology corporation with its headquarters in Armonk, New York. With its presence in and operations in over 171 countries, it is one of the world’s largest employers in the world. 

IBM is known for its innovations and holds the record for most US patents generated by a business for 28 consecutive years. Some of their notable inventions include the floppy disk, hard drive, relational database, SQL programming language, automated teller machine (ATM), the UPC barcode, and lots more.

The average salary of a Data Scientist at IBM is $134,179 per annum.

Notable Projects

IBM Cloud Pak for Data

Unused data is one of the biggest challenges in scaling AI-powered decision-making. IBM Cloud Pak for Data platform enables organizations to connect and access the data silos without moving them. It simplifies data access by automatically discovering and curating them to deliver actionable knowledge access to its users.

IBM Watson Studio

IBM Watson Studio enables data scientists, analysts, and software developers, to build and run AI models. It helps to automate AI lifecycles and speed time and bring together open-source frameworks with IBM for code-based and visual data science.

2. Wipro

Wipro is known for its information technology, consulting, and business process services. It was founded on 29 December 1945 and has its headquarters in Bangalore, India. With over 221,000 employees, it is ranked the 9th largest employer in India. 

Wipro makes an immense effort to expose its employees to hackathons and summits, which enables their data science professionals to interact with the top experts in the industry. They also encourage the development of their data science professionals through courses in collaboration with the best universities. 

The average salary of a Data Scientist at IBM is $108,924 per annum.

Notable Projects

Data Science Acceleration (DSA) Platform

The Data Science Acceleration (DSA) Platform enables citizen data scientists (non-data science specialists) to use data and analytics via an automation workbench and reusable modules. It creates a user-friendly workflow by leveraging open-source technologies within a cloud environment.

IQNxt

Wipro’s IQNxt framework provides organizations with a detailed assessment of data, a data governance setup, and a customized implementation roadmap. The solution is easy to deploy and enables organizations to save up to 30% in costs with a 93% improvement in data quality.

3. Cloudera

Cloudera is a software development company that provides enterprise data cloud which is accessible via a subscription fee. The Cloudera platform is built on open source technology and uses data analytics and machine learning to yield insights from data. It works across hybrid, multi-cloud, and on-premises architecture.

Cloudera was founded in 2008 with its headquarters in Santa Clara, California. Powered by the open-source community, Cloudera is one of the fastest-growing cloud companies out there accelerating digital transformation for the world’s largest enterprises.

The average salary of a Data Scientist at Cloudera is $132,308 per annum.

Notable Projects

CDP Private Cloud

CDP Private Cloud is a hybrid data platform that delivers powerful transactional, analytics, and machine learning workloads. It also provides the option of traditional or elastic analytics and scalable object storage. It enables data scientists with true data and workload mobility by providing them with consistent data security and governance across all public and private clouds.

Cloudera Operational Database

Cloudera Operational Database is an operational database that enables developers to quickly build future-proof applications that can handle data evolution over time. It also automates and simplifies database management as well as seamless integrations with other Cloudera data platform services.

4. Splunk

Splunk is the world’s first data-to-everything platform that produces software for searching, monitoring, and analyzing machine-generated data through a web-style interface. Splunk was founded in 2003 and has its headquarters in San Francisco, California, and has 23 offices worldwide. Splunk has been recognized as a Leader in the 2021 Gartner Magic Quadrant for Security Information and Event Management (SIEM) for over 8 years now.

The average salary of a Data Scientist at Splunk is $165,773 per annum.

Notable Projects

Splunk Insights

Splunk Insights is an analytics tool that can assess and investigate potential threats by ingesting event logs from multiple sources. It is especially useful and targeted toward smaller organizations like schools and universities.

Splunk Industrial Asset Intelligence

Splunk Industrial Asset Intelligence is an intelligence tool that extracts information from Industrial Internet of Things (IIoT) data from various resources and presents critical alerts to its users.

5. Numerator

Numerator is a data and tech company headquartered in Chicago, Illinois. The company is known for its innovative market research techniques which blend proprietary data with advanced technology to create unique insights. The majority of the Fortune 100 companies in the world are clients of Numerator.

The average salary of a Data Scientist at Splunk is $147,479 per annum.

Notable Projects

Purchase Based Audience Targeting

Numerator’s purchase blend audience targeting enables organizations to create niche targets by using first-party purchase data through intelligent modeling. This helps build a target audience more efficiently and allows advertisers to focus specifically on them.

Shopper+People Insights

Numerator allows on-demand access to shopper data which is updated on a daily basis. This helps to quickly answer business questions that legacy solutions are not able to. Organizations are then able to influence shopper behavior and grow their brand with better insights.

Choose the Right Data Science Progam

Do you wish to land a job in one of these orgs? If yes, here's how you can do it. To empower your decision-making and advance your data science career, we have curated an extensive course comparison to assist you. Delve into the intricacies and discover the ideal program that aligns with your objectives and ambitions in the dynamic realm of data science.

Program Name	Data Scientist Master's Program	Post Graduate Program In Data Science	Post Graduate Program In Data Science
Geo	All Geos	All Geos	Not Applicable in US
University	Simplilearn	Purdue	Caltech
Course Duration	11 Months	11 Months	11 Months
Coding Experience Required	Basic	Basic	No
Skills You Will Learn	10+ skills including data structure, data manipulation, NumPy, Scikit-Learn, Tableau and more	8+ skills including Exploratory Data Analysis, Descriptive Statistics, Inferential Statistics, and more	8+ skills including Supervised & Unsupervised Learning Deep Learning Data Visualization, and more
Additional Benefits	Applied Learning via Capstone and 25+ Data Science Projects	Purdue Alumni Association Membership Free IIMJobs Pro-Membership of 6 months Resume Building Assistance	Upto 14 CEU Credits Caltech CTME Circle Membership
Cost	$$	$$$$	$$$$
	Explore Program	Explore Program	Explore Program

Fastrack Your Data Science Career

By choosing the best data science companies out there, you can get started on your journey to a promising future. However, due to the significant rise in competition, there is a huge need to stand out from the crowd. A Data Science certification from a reputed organization can help you get a leg up in the competition and take your career forward. Simplilearn offers a number of data science courses like Caltech Post Graduate Program in Data Science and Data Scientist Master's Program that will help you fasttrack your career and prepare you for the top data science companies you want to work for.