22 Best Data Scientist Companies That Are Hiring For Data Scientists In 2023

Data Scientist Companies: The field of data science is thriving, and 2023 presents numerous opportunities for professionals eager to pursue or advance in their careers. Whether you’re an aspiring or seasoned data scientist, you’ll definitely want to be employed in the top employers in this domain. So, we’ve researched and come up with a list of the 22 best data scientist companies actively searching for data science talent in 2023. But, before we start this article, we highly recommend a Full-Stack Data Science Course if you want to make a successful career in data science. Now, let’s get started!

Table of Contents

22 Best Data Scientist Companies Hiring in 2023

Here are the best data scientist companies hiring in 2023:

Microsoft

Microsoft, a leading tech giant, heavily invests in data science and AI. Their Azure cloud platform offers various data services, and they focus on AI solutions.

Data Science Roles: Microsoft is hiring data scientists for projects including natural language processing and machine learning, both in the US and worldwide.
What’s Needed: To join Microsoft as a data scientist, you need a strong background in machine learning, data analysis, and programming. Proficiency in Python and R is crucial, as well as experience with big data tools like Hadoop and Spark.
Why Work for Microsoft: Microsoft is renowned for its collaborative work environment and innovation, as many data scientists have attested.

Amazon

Amazon, a tech and e-commerce behemoth, relies on data science for optimising supply chains, recommendations, and Alexa’s voice recognition.

Roles Offered: Amazon has open data scientist positions in various departments, such as Amazon Web Services (AWS) and Amazon Advertising.
Challenging Environment: Amazon’s culture emphasises data-driven decisions and sets high standards, creating an environment that encourages pushing boundaries.
Benefits: Working at Amazon as a data scientist offers competitive pay, health and retirement benefits, stock options, and the chance to work on globally impactful projects.

EY (Ernst & Young)

EY, a prominent accounting firm, boasts a robust data science and analytics division, aiding clients in leveraging data for informed choices.

EY’s Data Science Roles: EY offers diverse data science career paths, including advisory, consulting, and data analytics roles. They handle projects like fraud detection and financial analysis.
Prerequisites: Applicants to EY should highlight analytical and problem-solving skills, as EY values those who provide data-based insights.
Work-Life Balance: Data scientists at EY find their work fulfilling, as they solve complex business issues and tap into a vast network of resources and expertise within the company.

Also read: 4 Types of Data- Nominal, Ordinal, Discrete and Continuous

Google (Alphabet)

Google, a part of Alphabet Inc., is a tech giant. They lead in data science and artificial intelligence. They innovate in many areas, from search algorithms to self-driving cars.

Google’s Data Science Roles: Google frequently hires data scientists. They offer jobs in research, engineering, and product development. Opportunities exist in data analysis and machine learning.
Google’s Unique Environment: Google’s workplace is creative and innovative. They prioritise data-driven decision-making.
Career Growth at Google: Google supports professional development through mentorship and training, collaborating with industry experts.

VMware

VMware is a cloud and digital workspace tech leader. They use data science to improve products and services, focusing on cloud performance, security, and management.

Data Science Jobs at VMware: VMware consistently hires data scientists. They seek experts in data analysis for virtualization, cloud computing, and software-defined data centres.
Employee Benefits at VMware: VMware is known for its employee-friendly policies, such as flexible work arrangements, wellness programs, and career advancement.
Success Stories at VMware: Data scientists at VMware tackle challenging problems and contribute to shaping the digital future.

Walmart

Walmart, a global retailer, heavily relies on data science. They optimise supply chains, personalise customer experiences, and make better merchandising decisions.

Data Science Careers at Walmart: Walmart offers diverse roles for data scientists, from retail analytics to supply chain optimization. They are committed to data science.
Diversity at Walmart: Walmart emphasises diversity and inclusion, attracting data scientists from various backgrounds.
Walmart Insights: Data scientists at Walmart work on impactful projects, shaping the future retail.

JPMorgan Chase & Co.

JPMorgan Chase, a major financial institution, relies on data science for risk management, fraud detection, and algorithmic trading.

JPMorgan Chase’s Data Science Jobs: JPMorgan Chase actively hires data scientists for financial analytics. Expertise in quantitative modelling and statistical analysis is often required.
Benefits at JPMorgan Chase: Data scientists work with vast datasets, contribute to financial innovation, and gain industry exposure.
Advice from Data Scientists: Be ready for a dynamic, impactful environment at JPMorgan Chase.

PwC (PricewaterhouseCoopers)

PwC is a top global consulting and professional services firm. They offer a range of data science and analytics services.

PwC’s Data Science Jobs: PwC hires data scientists for data-driven solutions to complex problems. Roles cover data analytics, machine learning, and AI.
Employee Training at PwC: PwC focuses on training and upskilling. Data scientists continually enhance their skills.
PwC Testimonials: Data scientists at PwC enjoy impactful projects and a global network of professionals.

Also check: Top 12 Data Science Certifications That You Can Consider

Splunk

Splunk is a major player in data analytics and security. They offer solutions to collect and analyse machine-generated data for insights and security.

Data Science Roles at Splunk: Splunk frequently hires data scientists to develop data analytics and security solutions. Large datasets and machine learning are part of the job.
Company Culture at Splunk: Splunk has an inclusive, supportive work culture. They offer work-life balance.
Personal Stories at Splunk: Data scientists at Splunk tackle complex data challenges, enhancing security and efficiency.

Numerator

Numerator, a market intelligence company, excels in data-driven decision-making. They focus on consumer insights, enabling informed business decisions. Their data science division transforms raw data into actionable insights for clients.

Data Science Opportunities at Numerator: Numerator’s demand for data scientists highlights their commitment to data-driven innovation. Data scientists handle data collection, analysis, and interpretation. They provide clients with actionable insights from extensive market research data using statistical, machine learning techniques, predictive modelling, and data visualisation.
Work-Life Balance at Numerator: Numerator stands out for work-life integration. Data scientists find autonomy to excel in careers without sacrificing personal lives. This balance boosts productivity and well-being.
Insights from Numerator’s Data Team: Numerator’s data scientists impact projects with lasting effects, providing invaluable consumer insights. They aid market strategies and business decisions, navigating market complexities, clarifying consumer behaviour, and spotting growth opportunities. Diverse experiences fuel rewarding careers.

Databricks’ Data Focus

Databricks unifies data engineering and analytics. Their platform simplifies big data management, empowering data scientists and engineers to extract value from data in a complex data landscape.

Data Scientist Roles at Databricks: Databricks’ constant demand for data scientists signifies their role in modern data challenges. Data scientists develop, optimise, and apply big data solutions, machine learning models, and advanced analytics, simplifying data processing.
Training and Development at Databricks: Databricks values continuous learning. Data scientists collaborate with experts, access cutting-edge tech, and enjoy a collaborative culture, evolving in a dynamic field.
Real-Life Experiences at Databricks: Databricks offers a dynamic environment with innovative technologies. Their work directly impacts data accessibility for decision-making, keeping roles exciting and fulfilling.

Cloudera

Cloudera’s expertise in data solutions is fundamental. They provide tools to manage and analyse vast data efficiently, empowering businesses.

Data Science Roles at Cloudera: Cloudera consistently hires data scientists to solve data-driven challenges. They develop, optimise, and implement big data solutions, ensuring secure data storage and analysis.
Unique Culture and Benefits: Cloudera encourages innovation and collaboration, motivating creative problem-solving. Continuous growth opportunities are vital in a rapidly evolving field.
Data Scientists at Cloudera: Cloudera’s data scientists drive the big data revolution, shaping data handling and insights for organisations, impacting efficiency and competitiveness.

Teradata

Teradata provides analytics and data warehousing solutions, unlocking data’s potential for impactful decisions.

Data Science Positions at Teradata: Teradata actively recruits data scientists to work with massive datasets, apply advanced analytics, and develop data models, making data accessible, understandable, and actionable.
Professional Growth at Teradata: Teradata prioritises professional growth with ongoing training and support, adapting to data science’s rapid evolution.
Success Stories at Teradata: Teradata’s data scientists solve intricate data challenges, making informed, data-driven decisions, contributing to various industries.

Unified

Unified leads in social advertising solutions, targeting audiences on social media effectively, transforming digital advertising.

Data Science Openings at Unified: Unified hires data scientists to optimise ad campaigns, conduct market analysis, and enhance ad targeting, maximising client reach and ROI.
Employee Development at Unified: Unified emphasises employee development, providing training and mentorship, equipping data scientists for digital advertising’s evolving landscape.
Career Progression at Unified: Data scientists at Unified work on innovative projects, directly impacting how businesses engage with audiences on social media platforms, driving marketing success.

Alteryx

Alteryx provides data analytics and automation tools for data-driven decisions and streamlined workflows.

Data Science Opportunities at Alteryx: Alteryx hires data scientists to enhance data analytics and automation solutions. They require expertise in data analytics, machine learning, and data engineering, improving data processing and analysis.
Innovation at Alteryx: Alteryx encourages innovation and collaboration, fostering creative problem-solving and cutting-edge data tools development.
Alteryx’s Data Team: Data scientists at Alteryx lead innovation in data analytics and automation, aiding organisations to make informed, data-driven decisions across industries.

Civis Analytics

Established in 2013, Civis Analytics excels in deploying data-driven strategies for decision-making. Working with diverse clients, including governments, non-profits, and businesses, Civis Analytics stands out in the data science realm.

Data Science Roles at Civis: Civis Analytics offers various data science positions, from analysts to machine learning engineers. Their data scientists tackle projects spanning sectors like healthcare and public policy, fostering creativity and innovation.
Benefits and Workplace Culture: Noteworthy benefits include health coverage, competitive pay, and professional growth opportunities. Civis Analytics stands out for its focus on work-life balance, an appealing feature for data professionals seeking career and personal well-being.
Impactful Projects and Milestones: Civis Analytics has made a difference, aiding data-informed decisions during the COVID-19 pandemic, contributing to electoral redistricting, and spearheading data-driven initiatives across industries. A rewarding destination for data science enthusiasts.

Sumo Logic

Founded in 2010, Sumo Logic pioneers cloud-native machine data analytics, providing real-time insights vital in the tech-driven world.

Data Science at Sumo Logic: Sumo Logic offers diverse data science roles focused on utilising machine data. Data scientists tackle cutting-edge projects, offering critical insights into cloud operations.
Career Growth and Learning: Sumo Logic values employee growth, promoting skill upgrades and mentorship programs. Ideal for those deepening their cloud-native analytics expertise in a rapidly evolving field.
Impactful Data Science: Sumo Logic’s work has a tangible impact, identifying security threats, optimising cloud resources, and enhancing operational efficiency. A prime choice for data professionals seeking to make a real difference.

Sisense

Established in 2004, Sisense empowers organisations to transform complex data into actionable insights, earning trust in data-driven decision-making.

Diverse Data Science Roles: Sisense offers data scientists opportunities for challenging projects requiring strong analytical skills. Roles encompass data analysis, machine learning, and business intelligence, allowing exploration.
Diversity and Inclusion: Sisense dedicates itself to fostering a diverse and inclusive environment, promoting diversity in hiring. A welcoming workplace for those valuing inclusivity.
Impactful Data-Driven Initiatives: Sisense plays a pivotal role in optimising processes, enhancing customer experiences, and facilitating strategic planning through data analytics. A choice for transformation-driven data professionals.

Algorithmia

Founded in 2013, Algorithmia connects data scientists with algorithms to build intelligent applications, advancing AI and ML.

Exciting Data Science Roles: Algorithmia offers data scientists a vast library of algorithms to build innovative applications across industries like healthcare, finance, and e-commerce.
Career Growth and Support: Employees comment on Algorithmia’s supportive culture and exciting projects that push AI and ML boundaries. Shaping the future of AI and ML is possible here.
Key AI/ML Contributions: Algorithmia contributes to AI/ML growth, enabling organisations to harness AI’s power in applications, from language processing to computer vision. A key player for AI and ML enthusiasts.

Resurface Labs

Founded in 2018, Resurface Labs focuses on cybersecurity, gaining recognition for protecting digital assets.

Data Science Opportunities: Resurface Labs seeks cybersecurity-focused data scientists to develop tools and algorithms for security breach detection and prevention.
Work-Life Balance and Satisfaction: Resurface Labs prioritises work-life balance and meaningful work. High job satisfaction due to work that contributes to digital system safety.
Notable Cyber Security Achievements: Resurface Labs enhances cybersecurity by identifying and mitigating security threats effectively. Joining means actively combating cybersecurity challenges.

Cropin

Cropin is a data science company that is revolutionising the agriculture industry through data-driven solutions. Established in 2010, Cropin provides software and analytics tools that help farmers and agribusinesses make informed decisions.

Data Science Roles and Projects: Data scientists at Cropin work on projects that use data to improve agricultural practices. They develop predictive models, offer insights on crop health, and enhance farming techniques. The work at Cropin has a direct impact on global food production and agricultural sustainability.
Corporate Social Responsibility Initiatives: Cropin is not just about business; they also actively engage in corporate social responsibility. Their data-driven solutions have the potential to positively impact the agricultural sector and contribute to global food security. For data scientists looking to merge their passion for data with a cause, Cropin offers a unique opportunity.
Data-Driven Solutions in Agriculture: Chopin’s work has a tangible impact on agriculture. By providing data-driven insights to farmers, they empower them to make better decisions, optimise resource utilisation, and increase crop yields. If you’re seeking a data science role with direct, real-world implications, Cropin is a company to consider.

TheMathCompany

TheMathCompany is a data analytics company that specialises in providing analytics solutions to global enterprises. Founded in 2012, they have become a trusted partner for businesses in various industries.

Data Science Careers at TheMathCompany: TheMathCompany offers data scientists a chance to work on high-impact analytics projects. Their work spans different industries, including retail, finance, and healthcare. Data scientists at TheMathCompany are at the forefront of providing critical insights to global enterprises.
Professional Development and Mentorship: TheMathCompany is known for its commitment to professional development. They offer mentorship programs and encourage employees to continue learning and growing in their careers. For data scientists looking to continually enhance their skills and broaden their impact, TheMathCompany is a promising option.

Impactful Analytics Solutions for Global Enterprises: TheMathCompany’s analytics solutions have been instrumental in helping global enterprises make data-driven decisions. Their work has led to improved operational efficiency, better customer experiences, and increased profitability. If you’re keen on playing a key role in shaping the future of global business through data, TheMathCompany is a company that can provide that platform.

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Conclusion

The field of data science is thriving, and 2023 presents numerous opportunities for professionals eager to pursue or advance their careers. The data scientist companies mentioned in this article represent a diverse array of industries and are at the forefront of data-driven decision-making. Working at these organisations means not only job security but also the chance to contribute to meaningful and impactful projects.

So, whether you’re just starting out or looking for a fresh challenge, consider exploring the opportunities these companies have to offer. It’s an exciting time to be a data scientist, and these organisations are the vanguards of the data-driven revolution.

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Data Scientist Companies FAQs

What's the usual data scientist salary range?

Data scientist pay varies by factors like location, experience, and industry. Entry-level data scientists may earn $60,000 to $90,000, while experienced pros can make over $100,000 or more.

How does data engineering relate to data science?

Data engineering is vital in data science. Engineers gather, store, and organise data for scientists, forming the foundation of successful projects.

Are ethical concerns relevant in data science?

Yes, data science involves ethical duties. Privacy, bias, and fairness require attention. Ethical practices maintain data privacy, reduce algorithmic bias, and ensure transparent decision-making.

What certifications enhance data science careers?

Certifications like Certified Data Science Professional (CDSP), Microsoft Certified: Azure Data Scientist Associate, and Google's Professional Data Engineer boost credibility and job prospects.

What's the role of machine learning in data science?

Machine learning, a subset of data science, creates data-driven algorithms for predictions and decisions. Data scientists use it for insights and predictive models.

How do data scientists handle "big data"?

Data scientists use tools like Hadoop, Spark, and distributed computing for large datasets. Data sampling and feature selection make working with big data efficient.

Can data scientists specialise in NLP or computer vision?

Yes, data scientists specialise in areas like NLP, computer vision, or deep learning, becoming experts for valuable career prospects.

How do data scientists aid business decisions?

Data scientists provide data-driven insights that improve products, optimise operations, and enhance customer experiences. They create predictive models and conduct A/B testing.

Are specific coding languages necessary for data science?

While Python and R are common, learning SQL for database querying and Java or Scala for big data processing may be beneficial depending on your role and industry.

How to prepare for a data science interview?

To prepare for a data science interview, review statistics, machine learning basics, and data analysis. Showcase problem-solving skills with case studies and explain past projects. Practice coding exercises and whiteboard problems for technical interviews.