In today’s competitive data science job market, there are constantly open openings. Data science technology experts often stay employed, despite the fact that many online companies are cutting back on roles like designers and recruiters. An expeditious search on LinkedIn for the job title “data scientist” yields over 200,000 results. Without a doubt, there will be a talent scarcity in data science in 2023, particularly for skilled workers.
The top-tier companies on the list are recognized for their exceptional workplace environments, top salaries, and finest perks. If you’re wanting to work as a data scientist, this list of the top IT businesses hiring for data science roles can help you narrow down your options.
Microsoft Position: Analyst of Data
Pay range: $100,000 to $160,000 annually
A bachelor’s or postgraduate degree in a related discipline, as well as competence with programming languages, data analysis tools, and machine learning, are prerequisites.
Powerhouse in data science, Microsoft is also well-known for its consumer applications. Initiatives from the company, such as “AI for Earth,” are designed to use artificial intelligence (AI) to promote environmental sustainability. Furthermore, Microsoft’s “AI for Accessibility” project empowers people with disabilities through the application of AI technology.
Position at Amazon: Data Scientist
Pay range: $110,000 to $180,000 annually
Qualifications: Proficiency in data processing and machine learning, together with a solid foundation in mathematics, statistics, or computer science.
The industry leader in cloud computing is Amazon Web Services (AWS), a subsidiary of Amazon. In order to improve consumer experiences on all Amazon platforms, data is essential. In order to improve product security and quality, Amazon’s “Automated Reasoning” project focuses on automating logical reasoning.
Ernst & Young (EY) Position: Data Analyst
Pay range: $60,000 to $110,000 annually
Requirements: a bachelor’s degree in a discipline relevant to data, familiarity with data analysis software, and effective communication abilities
EY, a multinational professional services company, uses augmented intelligence and data to change business procedures and provide customers a competitive advantage. EY integrates AI and data analytics into its operations to manage performance, find new revenue streams, and guide capital allocation decisions.
Position: Machine Learning Engineer at Alphabet (Google)
Pay range: $120,000 to $210,000 annually
Requirements include an advanced degree in computer science or a related discipline, programming abilities, and knowledge with machine learning frameworks.
Google, a giant in the market, uses a lot of data to improve its goods and services. Using AdSense and Google Analytics, it collects data from websites and analyzes user behavior to optimize offerings. Google provides its data science experts with appealing benefits and high-paying salaries.
VMware Position: Analyst of Data
Pay range: $100,000 to $170,000 annually
Requirements include machine learning competence, mastery in data science or a related field, and tool proficiency.
VMware is a virtualization and cloud computing company that develops cutting-edge technology for enterprises that use multiple clouds. Research projects involving anomaly detection and cryptographic agility are fueled by data science. By joining VMware, data scientists may help a worldwide community solve important technological problems.
Walmart: Senior Data Scientist Position.
Pay range: $120,000 to $200,000 annually
Requirements include a master’s degree in data science or a similar subject, a wealth of experience in data analysis, and familiarity with data visualization software.
Walmart is a massive retailer that actively mines its vast amount of data to improve several facets of its business. By identifying trends in sales, data analysis facilitates enhanced shop checkout procedures, supply chain optimization, assortment management, and product suggestions.
Function of Numerator: Data Engineer
Pay range: $90,000 to $150,000 annually
Qualifications include understanding of data warehousing, data engineering, and a bachelor’s degree in computer science or a similar discipline.
The Numerator promotes customer insights in e-commerce. Numerator is used by many Fortune 100 companies, and its data scientists use client and customer data to evaluate purchasing environments, emotions, actions, and outcomes.
