.png){kind=logo}
- Insights
- Cryptocurrencies
- Stocks
- White Papers
- Industry
- Geography
- Insights
- Cryptocurrencies
- Stocks
- White Papers
- Industry
- Geography
There are always accessible positions in the competitive job market for data science today. Professionals with knowledge of data science technologies frequently maintain their jobs, even though many internet businesses are eliminating positions like recruiters and designers. Over 200,000 results come up when you quickly search for the job title "data scientist" on LinkedIn. In 2023, there will undoubtedly be a talent shortage in data science, especially for qualified professionals.
The top-tier businesses highlighted on the list pay the most, offer the best benefits, and are usually regarded as having excellent workplaces. This list of the top tech companies hiring for data science roles should help you focus your search if you're looking for a career as a data scientist.
Role: Data Scientist
Salary: $100,000 – $160,000 per year
Qualifications: Bachelor's or advanced degree in a relevant field, proficiency in data analysis tools, programming languages, and machine learning.
Renowned for its consumer software, Microsoft is also a data science powerhouse. The company's initiatives, like "AI for Earth," aim to leverage artificial intelligence (AI) for environmental sustainability. Additionally, Microsoft's "AI for Accessibility" project uses AI technology to empower individuals with disabilities.
Role: Data Scientist
Salary: $110,000 – $180,000 per year
Qualifications: Strong background in mathematics, statistics, or computer science, expertise in data manipulation, and machine learning.
Amazon's subsidiary, Amazon Web Services (AWS), dominates the cloud computing industry. Data plays a pivotal role in enhancing customer experiences across all Amazon platforms. Amazon's "Automated Reasoning" project focuses on logical reasoning automation to bolster product security and quality.
Role: Data Analyst
Salary: $60,000 – $110,000 per year
Qualifications: Bachelor's degree in data-related field, knowledge of data analysis tools, and strong communication skills
As a global professional services firm, EY leverages data and augmented intelligence to transform business processes and provide clients with a competitive edge. Data analytics and AI are woven into EY's operations to drive revenue opportunities, manage performance, and inform capital allocation strategies.
Role: Machine Learning Engineer
Salary: $120,000 – $210,000 per year
Qualifications: Advanced degree in computer science or related field, experience in machine learning frameworks, and programming skills.
An industry titan, Google relies heavily on data to refine its products and services. It gathers data from websites using AdSense and Google Analytics, analyzing user behavior to optimize offerings. Google offers lucrative salaries and attractive benefits to its data science professionals.
Role: Data Scientist
Salary: $100,000 – $170,000 per year
Qualifications: Master's degree in data science or related discipline, proficiency in data analysis tools, and machine learning expertise.
VMware, a cloud computing and virtualization company, pioneers technology solutions for multi-cloud businesses. Data science fuels research endeavors, including anomaly detection and cryptographic agility. Joining VMware allows data scientists to contribute to solving critical technology challenges in a global community.
Role: Senior Data Scientist: .
Salary: $120,000 – $200,000 per year
Qualifications: Advanced degree in data science or related field, extensive experience in data analysis, and proficiency in data visualization tools
A retail giant, Walmart possesses a wealth of data that it actively mines to enhance various aspects of its operations. Data analysis uncovers sales patterns, enabling product recommendations, supply chain optimization, assortment management, and improved store checkout processes.
Role: Data Engineer
Salary: $90,000 – $150,000 per year
Qualifications: Bachelor's degree in computer science or related field, data engineering expertise, and data warehousing knowledge.
For e-commerce, the Numerator emphasizes customer insights. Numerous Fortune 100 organizations use Numerator, and its data scientists assess buying environments, feelings, behaviors, and consequences using client and customer data.
