What Companies Employ Data Science and Data Analytics Students?

CIAT. Edu offers program paths for people seeking a career in data analytics.

The U.S. Bureau of Labor Statistics estimates by 2027 there will be a 27.9% increase in jobs that require data science skills. However, there currently needs to be more qualified data scientists and analytics talent to fulfill those current openings today. These roles pay well but require advanced education to gain entry.

Data science professionals are in high demand across various fields, including the five most prominent tech companies:

• Facebook

• Amazon

• Apple

• Netflix

• Google

Degree programs at CIAT.Edu prepare students for this fascinating job market. Students considering a career in this field should view the following degree and certificate programs offered at CIAT.Edu.

• Associate of Applied Science in Business Data Analytics
• Applied for Bachelor’s Degree in Software Development – Data Analytics
• Power BI Certification
• Tableau Desktop

Students looking for a career in data science and analytics will find many organizations in every market segment, including healthcare, technology, retail, government, and manufacturing, leveraging artificial intelligence and machine learning. These advanced capabilities need qualified candidates to fill the various open job requisitions globally.

Job Forecast for Data Scientists in 2023

Approximately 13,500 data scientist openings are projected to be available annually on average over the next decade; many of these are due to worker replacements or retirement.

Data Science jobs are continually available, meaning tech firms rarely lay off those with data science experience. LinkedIn results show over 200,000 results when searching for a Data Science job. Data scientist employment is forecasted to rise 36 percent between 2021 and 2031, compared to other occupations’ average growth rate.

Data Science and Healthcare 

Data science can have a positive effect on public health. Wearable health monitors enable individuals to monitor their health, identify potential issues and motivate them to live healthy lifestyles. It can fine-tune diagnoses, facilitate research on curing diseases and prevent the spread of viruses. For example, when Ebola spread in West Africa in 2014, data analysis gave insights on its transmission route, enabling health officials to limit the spread and avert a pandemic.

Who are the Top Employers for Data Science and Analytics?

Deloitte

Deloitte is a global consulting services firm focusing on taxes, audits, cybersecurity, assurances, private company services, mergers and acquisitions, risk and financial advisory, analytics, and cloud. They also emphasize effective data management and fact-based decision-makers.

CapitalOne

As CapitalOne Data Scientists, employees are part of a team that uses advanced AL and machine learning (ML) technologies to optimize financial data and forward business decision logics. CapitalOne revolutionized the credit card industry by leveraging statistical modeling to customize every offer. Data is at the core of all the company’s operations, resulting in its position as a Fortune 200 firm.

HCL Technologies, Mumbai, India

HCL Engineering and Data Science Research Services is a well-known provider from India. It accounts for 61 top 100 data analytics, artificial intelligence, and machine learning projects worldwide. HCL works with accomplished international organizations to boost its AI and ML efforts. In the last ten years, it has aided nearly 300 companies in multiple sectors with their AI and ML data learning and algorithm creation.

Amazon

Amazon utilizes analytics to understand customer needs and collaborates with startups to develop career opportunities in projected growth-oriented fields, including medicine, computer engineering, robotics, and software engineering.

Amazon’s subsidiary, AWS, is the largest market share holder in cloud infrastructure services. Data is crucial in delivering an optimal customer experience on all Amazon platforms. The Automated Reasoning Project works to improve security, quality, and availability through formal logical decision-making, AL, and analytics.

Microsoft

Microsoft is well-known for consumer software, but they are also successful in Data Science. They offer services and products to users, developers, and organizations. Their AI for Earth initiative provides open-source tools, data, infrastructure, models, and APIs to help use AI in sustainability practices. Additionally, their AI for Accessibility Project seeks to use AI technology to support those with disabilities.

EY

E Y is a global accounting and professional services provider that offers various services, from strategic consulting to developing capital allocation strategies. They utilize analytics, data, and AI-enabled tools for risk management, operational optimization, and generating new revenue streams.

Google

Google’s most valuable resource is its data. It collects data from websites that use either AdSense or Google Analytics and uses this information to study user behavior. This helps improve the quality of its products and services. Moreover, Google provides excellent financial benefits and salaries beyond industry standards.

Walmart

Walmart uses data analysis and mining techniques to help inform product recommendations, supply chain optimization, product assortment, and improve store checkout.

Knowledge for Today and in the Future

Companies are increasingly relying on data-based decision-makers. There is a need for Data Scientists with the capability to interpret large amounts of real-time data. Additionally, Data Scientists are expected to identify and address issues that could impact a company’s success.

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

The world continues to generate more data each day. Organizations have recognized the value of mining their data using artificial intelligence and machine learning to find trends to help increase their revenue. Data Scientists and Analytics Engineers help make sense of the data by making the content usable for product development, customer experience, and monetization. Attending institutions like CIAT.EDU helps give students the foundation of knowledge to seek a career in this exciting field.