Many industries are being transformed by data science. It's not surprising that demand for data scientists is increasing rapidly, given how useful data insights enable data science companies to make more informed decisions. It is predicted that job opportunities in data science will increase by 22% by 2030.
The following are the best data science companies to work for. Data science is simply the study of data to gain important business insights. It analyzes massive amounts of data by combining concepts and methods from mathematics, statistics, artificial intelligence, and computer engineering. Recession-proof data science companies, regardless of size, must have a solid data science strategy if they want to grow and maintain a competitive edge over other data science companies. In this article, we'll look at some of the recession-proof data science companies to watch in 2023 to see how they can help you in the future.
Before moving on, do have a look at the popular data science course in Mumbai to explore some of the cutting-edge data science tools and techniques.
EY is a multinational accounting and professional services firm specializing in corporate finance, strategy, consulting, and transactions. EY uses data and artificial intelligence to reengineer processes, improve risk controls, and provide a competitive advantage to its customers. Analytics and artificial intelligence (AI) are being integrated into their business operations to generate new revenue streams, manage performance, and drive capital allocation plans.
PwC, a global network of professional services firms, uses data to estimate market size, calculate risk premiums, and improve its Total Impact Measurement and Management (TIMM) framework. It also offers extensive, adaptable, and competitive pay and benefits.
In addition to developing new and innovative ways to use various data types, Walmart is committed to analyzing a massive amount of existing data. Walmart employs extensive data mining to identify point-of-sale data trends, which are then used to optimize supply chains, product assortments, and retail checkouts.
VMware is a company that develops virtualization and cloud computing technology for multi-cloud businesses. Data science is driving the development of anomaly detection, cryptographic agility, cache-adaptive algorithms, and CloudCast at VMware.
Splunk is the world's first data-to-everything central platform, allowing users to search, monitor, and analyze their data. Users interact with a web-style interface and use advanced built-ins such as outlier identification, predictive analytics, event grouping, and forecasting. These products help businesses improve their cloud migration, resilience, and digital customer experience.
Databricks is a relatively new company with roots in academia and the open-source community. The company's main offering is the Lake House Platform, an open and integrated data and AI platform that combines the best features of data warehouses and data lakes. Shell, HSBC, T-Mobile, and the H&M Group are just a few of the world's largest corporations that rely on Databricks for massive-scale data engineering, business analytics, full-lifecycle machine learning, and collaborative data science.
Algorithmia provides machine learning model deployment and administration services. It manages the production machine learning lifecycle within existing operational procedures by leveraging top-tier enterprise-grade infrastructure, which DataRobot recently purchased. Thousands of non-governmental organizations, government intelligence agencies, and Fortune 500 companies use Algorithmia to operationalize their machine learning use cases.
The numerator emphasizes consumer insights in e-commerce. Many Fortune 100 companies use the numerator, and its data scientists use client and customer data to assess buying environments, feelings, behaviors, and outcomes.
Cloudera, a hybrid data cloud company, makes data and analytics simple and accessible to everyone. Clients can combine private and public clouds to gain more powerful business insights. Cloudera serves various industries, including financial services, retail, technology, healthcare, education, and manufacturing.
Cropin is an AgTech company that uses Earth observation and AI to enable data-driven farming. It aims to "re-imagine agriculture with data" by taking a multidisciplinary approach to AI, earth observation, agriculture, meteorology, and computer sciences. Cropin provides useful knowledge and improves the agricultural environment by utilizing pixel-level information from satellite photography. Cropin currently provides SaaS solutions to 225 agribusinesses and numerous governmental and non-governmental organizations in over 50 countries.
So this was all about the top recession-proof data science companies in 2023. If you’re an aspiring data scientist and ML aspirant, enroll in the top data science certification course in Mumbai and learn the skills with the help of industry experts.