Discover Opportunities: Top 15 Best Data Science Companies Hiring in 2024

Top 15 Data Science Companies Hiring in 2024

1. Microsoft

Microsoft, as we all know, is one of the leading giants among data science companies, investing heavily in artificial intelligence including generative AI, cloud computing, and gaming. The company depends extensively on data processing to show tailored content to its users. Their team of data scientists takes on the job of developing innovative products and services that leverage big data and machine learning.

Microsoft is a regular data science recruiter, and the recent developments suggest a potential hiring in 2024.  As a recent development, Microsoft is focusing extensively on AI, Cloud computing, and productivity tools. The hiring may account for developing  AI-powered applications and other innovations in its product portfolio. The various roles that this data science company hires include data scientists, machine learning engineers, data engineers, and business intelligence analysts, all of whom have various experience levels. 

The average salary for a data scientist at Microsoft ranges from US$198.65K to US$300K per annum, depending on experience levels.
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2. Amazon

Amazon is a top data science recruiter. It operates in diverse zones, and surprisingly, it leads where it plays. Be it cloud computing or the multidimensional e-commerce platform, the impact of this data science company on service delivery and job offerings is commendable. The nature of its business, especially the e-commerce platform, made it an early adopter of data science. Amazon online shopping is reviving the sector with a data-driven approach. It hires top-notch data professionals, including Data Scientists, Machine Learning professionals, Analysts, and Business Intelligence Developers. 

Their data science professionals are responsible for ensuring smooth business tractions, including product recommendations, fraud detection, and process optimization such as the logistics one.

Their commitment to innovation and ongoing expansion is creating regular opportunities for data professionals. We suggest following the job updates with Amazon to grab an early opportunity.

According to Glassdoor, the total salary range of an Amazon Data Scientist is $110K-$155K per annum, with $ 129K as the Median Total Pay.

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3. Google

Data Science is at the core of Google’s business operations. Right from its search engine to displaying ads, this data science company extensively utilizes data science to deliver tailored and specific solutions to its customers. Google helps businesses to reach targeted audiences through real-time data analysis and assistance. Platforms like Google Analytics and Google Ads provide unrestricted access to processed data to help businesses create tailored strategies, minimizing the monetary needs to run campaigns and maximizing the returns on investments. 

Google’s advancements in Artificial Intelligence are further boosting the need for qualified data professionals to support continuous innovations, necessitating regular hiring at different experience levels. Records support that Google hires professionals in the role of Data Scientists, Machine Learning Engineers, Research Scientists, Data Analysts, and Software Engineers. Its commitment to developing new technologies, including AI research and development,  Cloud Computing, and enhanced user experience, ensures a high demand for data science talents, thus inspiring professionals to choose the data science career path. 

Google pays a salary range of $214K - $315K/yr to a data scientist per annum with a $256K median total pay.

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4. Apple

A user-centric approach and parallel innovations are attributes of the top data science companies, and Apple’s early adoption of a data-driven approach has been a key factor in its growth. Apple ensures it reaches the audience with a product that they would prefer over the others. Apple incorporated surveys in the early days to learn about the users’ preferences, and the pleomorphic user interface is an example of that. Today, it utilizes data science. 

This data science company utilizes data science to develop innovative products, personalize user experience across its products and services, optimize its marketing and advertising campaigns, and ensure continuity in supply chain management. There are other uses, though. Continuous innovations throughout the Apple divisions are expected to surge in 2024, signifying hirings in 2024.

The total salary range of Apple Data Scientist is $209K-$303K per year with $249K median total pay.

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5. Meta (Facebook)

The primary business of Meta, formerly known as Facebook, is to create a network of people and show them advertisements tailored to their interests and needs.  It is a social media giant that heavily relies on data science to personalize user experiences and target advertisements. 

Facebook’s transition to Meta is a future thing and, indeed,  the beginning of a new era in the social landscape. Participants of meta experience a whole different universe and this approach is going to influence users extensively soon. The platform is expected to grow extensively in 2024 for the past trend records. As such, there is a huge potential for hiring data professionals. This data science recruiter may announce jobs for Data Scientists, Machine Learning Engineers, Social network analysts, and Data engineers in 2024.

The total salary range for Meta Data Scientist is $210K-$299K per year with a $ 248K median total pay.

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6. IBM

A pioneer in data science, IBM is one of the top data science companies that actively recruit data science professionals. This data science company is a multinational provider of a wide range of innovative products and services. Its products include hardware, software, cloud computing, artificial intelligence (AI) products, and data analytics services. The user base for IBM spans multiple sectors, including technology, healthcare, finance, manufacturing, and others. 

This data science company utilizes data scientists to analyze large volumes of data, extract insights, and develop AI-driven solutions to help businesses make better decisions. Continuous innovation and expansion into new sectors, including hybrid cloud solutions, are expected to boost the hiring drive of this data science company extensively. As such, we strongly recommend keeping an eye on job opportunities with IBM. Offerings may come for new data professionals in the role of Data Scientists, Data Engineers, Data Architects, Machine Learning Engineers, and Blockchain Developers.

The total salary range for IBM data scientists is $130K-$184K per year with $154K as median total pay.

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7. Databricks

Databricks is a leading cloud-based data platform helping businesses with unified data analytics and AI solutions. It helps organizations with analyzing large volumes of data from disparate sources in real time.

Data Scientists, Machine Learning Engineers, and Business Analyst can work together on this platform to build, train, and deploy models. The platform supports languages such as Python, R, and Scala and library frameworks like TensorFlow, PyTorch, and Scikit-Learn.

Databricks is rapidly growing and hiring data science professionals to support the expansion of its services and user base. This data science recruiter may potentially hire Data Scientists, Machine Learning Engineers, Data Engineers, Software Engineers, and Cloud Architects in 2024.

Databricks offers a competitive total range of $192K-$260K/yr and a median total pay of $221K to a Data Scientist. 

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8. Netflix

A prominent leader in providing streaming services, Netflix extensively relies on data science and machine learning to recommend content tailored to individual preferences across various locations. Other uses for data learning at Netflix may include but are not limited to

• Content creation and acquisition
• Content optimization
• Setting dynamic pricing
• Optimizing content delivery
• Content performance analysis
• Personalization with users’ experience

Besides the growing user base, AI adoption to expedite content delivery will symbolize hiring opportunities with this data science company in 2024. Hirings may inflow for the roles of Data Scientist, Machine Learning Engineer, Data Engineer, and Business Analyst. Netflix offers a competitive total range of $143K - $196K per annum and a median total pay of $168K to a Data Scientist.

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9. Alteryx 

Alteryx is one of the top data science companies among the providers of analytics and data science software. Their software empowers organizations to transform data into actionable insights. They help businesses to solve complex problems utilizing data science. The user need not know coding on the most popular programming languages of today or complex scripting to prepare, blend, and cleanse data from multiple resources. Users can perform descriptive analytics, statistical analysis, predictive modeling, and spatial analysis to uncover patterns, trends, and insights hidden within the collected data.

All these privileges are backed by data professionals, creating a robust structure for data analysis and implementation. This data science company is evolving continuously,  and the growing user base further necessitates the need for additional talents to support growth. As such, this data science recruiter may hire Data Scientists, Data Engineers, Data Analysts, Business Intelligence Developers, and Solution Engineers.

According to Talent.com, the average remuneration offered by Alteryx is $121,875 per annum.

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10. Sisense

Sisense is a leading software company providing data-driven solutions in business intelligence. It helps organizations to analyze and visualize complex data sets to make better business decisions. Users can merge data from various sources like databases, cloud services, and spreadsheets into a unified platform to create interactive dashboards and generate reports to cover insights. The user does not need to know coding to perform the analysis activities. 

Founded in 2004, this data science company generates over $150 million in revenue annually. Sisense had a layoff in July 2023; nonetheless, the business environment is positive, and the company may hire data science professionals in 2024.

Let us move towards some leading data science companies sector-wise that may potentially hire in 2024.

Best Data Science Companies Hiring in 2024 (Leading sectors)

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11. Pfizer ( Healthcare)

 A leading pharmaceutical company, Pfizer leverages data science for drug discovery, clinical trials, and healthcare analytics. The growing importance of data-driven healthcare solutions suggests a strong demand for data science expertise in this domain.

The possible hirings can be for the Data scientist position with experience in the best data science projects in their profile, Machine Learning Engineers, Bioinformaticians, and Statistical Analysts.

The total salary range offered by Pfizer to a data scientist is $127K-$183K per year, with a median total pay of $152K.

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12. Johnson & Johnson  (Healthcare)

A healthcare giant, Johnson & Johnson utilizes data science in product development, supply chain management, and personalized medicine. They actively recruit data scientists for various roles, including Data Scientists, Data Engineers, Machine Learning Engineers, Health Data Analysts, and Medical Statisticians.

The total salary range for a Data Scientist in Johnson and Johnson is $116K-$170K per year, with a median annual salary of $140K.

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13. JPMorgan Chase (Finance)

 JPMorgan Chase is a leading financial institution relying heavily on data science for risk management, fraud detection, and customer-oriented insights. Their team of data scientists is responsible for providing inputs for the development of financial products and suggesting recommended products tailored to the user’s preferences. The potential hiring in 2024 may include  Quantitative Analysts, Risk Data Scientists, Machine Learning Engineers, and Algorithmic Trading Developers.

J.P. Morgan pays data science experts a total of $125K—$198K per annum, with a median total pay of $157K annually.

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14. Goldman Sachs (Finance)

Goldman Sachs is a prominent investment banking system that utilizes data science for algorithmic trading, portfolio optimization, and market analysis. They actively recruit data scientists with strong quantitative backgrounds. Potential hiring may include Quantitative Analysts, Data Scientists, Machine Learning Engineers, Algorithmic Trading Developers, and Risk Analysts.

The potential annual earnings for a Data Scientist at Goldman Sachs range from $141,000 to $210,000, encompassing both base salary and supplementary compensation. On average, the base salary for a Data Scientist at Goldman Sachs is $148,000 per year. Additionally, the average supplementary pay amounts to $24,000 annually, comprising various forms such as cash bonuses, stocks, commissions, profit sharing, or tips.

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15. Walmart (Retail)

Walmart is the largest retail platform globally. With an extended user base, Walmart needs real-time analysis of bulk data to optimize its supply chain and implement personalized marketing.  Its focus on efficiency and customer experience necessitates a strong data science team to analyze vast amounts of customer and operational data. They may recruit data scientists for various roles, including Data Scientists, Supply Chain Analysts, Customer Insights Analysts, Marketing Data Analysts, and Business Intelligence Analysts.

The estimated pay range for a Data Scientist at Walmart is $150-217K yearly, including base salary and extra pay. The average base salary is $140K, with an additional $39K in average extra pay, like bonuses and stock.

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Why Are The Data Science Companies Are Best?

The business environment has become complex today. Consumers are specific to their needs and prefer continuing with platforms/ companies that deliver tailored solutions. As such, understanding consumer behavior and preferences is important for companies to deliver relevant products and retain their user base while longing for new users. Data science is a systematic arrangement structured to analyze bulk data for accuracy. Accuracy in service delivery is the prime objective and data professionals are the fundamental units to achieving the objectives.

Also, read Prerequisite for Data Scientist: First Step To Becoming Data Scientist

Data science companies have in place arrangements including tools and methodologies to collect and process bulk data in real time. These companies possess a deep understanding of data science methodologies, algorithms, and technologies, allowing them to tackle complex data challenges effectively.

They leverage cutting-edge tools and techniques to extract valuable insights from data, empowering businesses to make informed decisions and gain a competitive edge. 

This approach makes data science companies the best as they can help an organization nurture its growth and remain customer-oriented and effective in the long run.

Tips for Applying with the Best Data Science Companies

Data science aspirants need to prepare thoroughly to maximize their chances of success. Here are some tips to consider:

• Build a Strong Foundation - As a primary step, aspirants should ensure to have a solid understanding of key concepts in data science, including statistics, machine learning, and programming languages. JanBask Training is a primer institute with decade-long experience in delivering tailored teaching that converts novice to expert. You can explore our exclusive and latest data science course syllabus to get hold of the key concepts. Powered by industry-led experts, our data science curriculum incorporates real-time projects to help you gain practical insights into industry requirements.
• Create a Compelling Portfolio - Showcasing skills, including data science projects, are essential to build the first positive impressions and clear the screening criteria. The JanBask training modules incorporate expert assistance to create compelling and tailored portfolios to match the vacancy needs. Highlight your contributions, methodologies, and results to demonstrate your expertise and problem-solving abilities with JanBask.
• Stay Updated - Read blogs, and research papers, and attend conferences or webinars to stay abreast of the latest trends, tools, and techniques in data science. Demonstrating your knowledge of current developments in the field can impress recruiters and hiring managers. This approach will also keep you informed about companies hiring data scientists.
• Network - Connecting with data science professionals through communities is an active way to get updates on everything going on in data science companies. JanBask offers an active community comprising current and past students, including the one established with top data science companies and our mentors. Together, we ensure that we cover the various aspects related to data science companies, including updates on requirements.
• Tailor Your Resume and Cover Letter - Tailoring the resume to match the company's requirements is essential to clear the resume shortlisting process. Our Job assistance program covers this aspect thoroughly to help our students with resume tailoring needs, every time. You’ll get to know how to actually prepare the Data Scientist Resumes That Will Get You An Interview Call.
• Prepare for Technical Interviews - Be prepared to demonstrate your technical skills and problem-solving abilities during interviews. Our placement assistance program exclusively covers the interview preparation process to help our students get thorough with the most crucial concepts to exceed the hirer's expectations.
• Face interview with Confidence - Confidence comes with preparations, and under our expert's guidance, we ensure our students are well aware of the business requirements and present themselves as specifically prepared to take on the job description instantly.
• Be Persistent and Patient - Landing a job in data science can be competitive and may require persistence. Keep refining your skills, expanding your network, and applying to relevant opportunities. Stay patient and resilient throughout the job search process.

  Fastrack your Data Science Career

  Kick-start your career in data science with a premier institute that covers the most updated curriculum to match the latest needs of the data science industry. Partner with JanBask training and choose from the many learning modules we have in place to help our students manage their busy schedules. Whether you are a fresher or an experienced data science professional looking to fill some knowledge gap and secure promotions, we offer data scientist training courses for all. Explore our data science courses to get more insights.

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Conclusion

Data science is a vast industry that is growing exponentially as more companies adopt this proven model to grow their business. The job requirements are huge, and data science companies are facing talent shortages. As such, the year 2024 is set to bring unprecedented opportunities, fulfilling your dream of making it to the data science companies hiring in 2024. 
The need of time is to learn data science seamlessly and get certified by a premier institute that can equip you with the necessary skills and guide you with strategies to attain your dream role. If you are skill-ready and prepared, keep a watch on the list of data science companies we have recommended above, as there are good hiring expectations in these data science companies in 2024. Happy Job Hunting

Frequently Asked Questions

Q1 : How should one select a good Data Science Company?

Ans: Selecting a good Data Science Company must include: Analysing its industry reputation, growth trajectory, innovation, employee satisfaction, diversity and inclusion initiatives, and overall impact on the data science landscape.

Q2 : What roles do the Data Science Firms hire for?

Ans: Data science companies hire for a wide range of roles, including data scientists, data analysts, machine learning engineers, AI researchers, software engineers, data engineers, business analysts, and more.

Q3 : Do Data Science Firms offer remote work opportunities?

Ans: Many of the data science companies on the list offer remote work options, while others may have location-based opportunities. The companies keep changing the location needs depending on the business needs, roles and office locations.

Q4 : What is the hiring process with the best Data Science Companies?

Ans: The hiring process typically involves multiple stages. However, these stages, also called “interview rounds” necessary include:

• Screening interview

• Technical assessments

• Final interviews with hiring managers or team members.