{"id":14446,"date":"2023-06-27T09:53:00","date_gmt":"2023-06-27T16:53:00","guid":{"rendered":"https:\/\/www.springboard.com\/?p=14446"},"modified":"2025-01-27T01:50:53","modified_gmt":"2025-01-27T09:50:53","slug":"companies-hiring-data-scientists","status":"publish","type":"post","link":"https:\/\/www.springboard.com\/blog\/data-science\/companies-hiring-data-scientists\/","title":{"rendered":"22 Best Data Science Companies Hiring in 2025"},"content":{"rendered":"\n<p>Big data is transforming industries across the globe. As data increasingly help companies gain valuable insights and make more informed decisions, it\u2019s no surprise that data science jobs are also growing exponentially.&nbsp;<\/p>\n\n\n\n<p>The U.S. Bureau of Labor Statistics estimates that job opportunities for computer and information research scientists\u2014including data science roles\u2014will grow 22% by 2030, which is much faster than the national average. And Glassdoor recently listed data science roles in its top three jobs this year.&nbsp;<\/p>\n\n\n\n<p>But with so many companies now hiring for data science roles, how do you know which company is the right fit for you? Here&#8217;s our list of the 22 best data science companies hiring right now.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>What Factors Make a Data Science Company Worth Working For?<\/strong><\/h3>\n\n\n\n<p>Before joining the data science job market, you should know which companies will be the best fit for you. When looking for the best fit, ask yourself these questions:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Am I interested in building the company\u2019s projects and\/or products?<\/li>\n\n\n\n<li>Does the company offer <a href=\"https:\/\/www.springboard.com\/blog\/data-science\/highest-data-scientist-salary-possible\/\">competitive compensation<\/a>?<\/li>\n\n\n\n<li>Does the company provide comprehensive benefits like health\/life insurance, paid time off (PTO), profit sharing, and retirement benefits?<\/li>\n\n\n\n<li>What\u2019s the company\u2019s current market reputation\/public perception?<\/li>\n\n\n\n<li>Does the company foster a culture of trust, flexibility, collaboration, and positive feedback?<\/li>\n<\/ul>\n\n\n\n<p>Now that you know what to look for in a data science employer, let&#8217;s dive into the top 22 companies hiring today:<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Best Data Science Companies: The Big Names<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>1. Microsoft<\/strong><\/h3>\n\n\n\n<p>Everyone knows Microsoft as a consumer software giant. But it&#8217;s also a great data science company to work for, as Microsoft offers a range of products for consumers, developers, and organizations. <a href=\"https:\/\/www.microsoft.com\/en-us\/ai\/ai-for-earth\" target=\"_blank\" rel=\"noreferrer noopener\">AI for Earth<\/a> is a Microsoft initiative developing open-source tools, data, infrastructure, models, and application programming interfaces (APIs) to accelerate the use of artificial intelligence (AI) for environmental sustainability. They also have their <a href=\"https:\/\/www.microsoft.com\/en-us\/ai\/ai-for-accessibility\" target=\"_blank\" rel=\"noreferrer noopener\">AI for Accessibility<\/a>&nbsp;project, which uses AI technology to empower people with disabilities.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2. Amazon<\/strong><\/h3>\n\n\n\n<p>Amazon Web Services (AWS), Amazon&#8217;s subsidiary cloud computing company, is currently the largest individual market shareholder in the <a href=\"https:\/\/www.statista.com\/chart\/18819\/worldwide-market-share-of-leading-cloud-infrastructure-service-providers\/\" target=\"_blank\" rel=\"noreferrer noopener\">cloud infrastructure<\/a> service industry. It consistently relies on data to create the best customer experience across all Amazon platforms. Their <a href=\"https:\/\/www.amazon.science\/research-areas\/automated-reasoning\" target=\"_blank\" rel=\"noreferrer noopener\">Automated Reasoning<\/a> project focuses on automating formal logical reasoning to improve the security, quality, and availability of Amazon\u2019s products and services. And their <a href=\"https:\/\/www.amazon.science\/research-areas\/computer-vision\" target=\"_blank\" rel=\"noreferrer noopener\">Computer Vision<\/a> project uses 3D modeling and imaging to help devices see and understand the visual world. &nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>3. EY<\/strong><\/h3>\n\n\n\n<p>EY is a global accounting and professional services firm specializing in strategy, consulting, transactions, private company solutions, and corporate finance. EY uses data and augmented intelligence to enhance risk controls, re-engineer processes, and give its clients a competitive advantage. <a href=\"https:\/\/www.ey.com\/en_us\/big-data-analytics\" target=\"_blank\" rel=\"noreferrer noopener\">Analytics and AI<\/a> are embedded into their business processes to generate new revenue opportunities, manage performance, and drive capital allocation strategies. EY utilizes data science for:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Business transformation and growth<\/li>\n\n\n\n<li>AI consulting services<\/li>\n\n\n\n<li>Advanced analytics<\/li>\n\n\n\n<li>AI merger and acquisition tools<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>4. Google (Alphabet)<\/strong><\/h3>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<div class=\"ratio ratio-16x9 my-5\" itemprop=\"video\"><img src=\"https:\/\/img.youtube.com\/vi\/JbNegqgZKCw\/sddefault.jpg\" class=\"img-fluid\" alt=\"YouTube video player for JbNegqgZKCw\" loading=\"lazy\" style=\"object-fit:cover;width:100%;height:100%\" data-yt-facade=\"1\" \/><div class=\"yt-facade\" style=\"position:absolute;z-index:2;background:rgba(0,0,0,0.2)\"><svg fill=\"#fff\" height=\"100%\" viewBox=\"0 0 24 24\" width=\"72\" style=\"position:absolute;top:50%;left:50%;transform:translate(-50%, -50%);\"><path d=\"M0 0h24v24H0V0z\" fill=\"none\"><\/path><path d=\"M21.58 7.19c-.23-.86-.91-1.54-1.77-1.77C18.25 5 12 5 12 5s-6.25 0-7.81.42c-.86.23-1.54.91-1.77 1.77C2 8.75 2 12 2 12s0 3.25.42 4.81c.23.86.91 1.54 1.77 1.77C5.75 19 12 19 12 19s6.25 0 7.81-.42c.86-.23 1.54-.91 1.77-1.77C22 15.25 22 12 22 12s0-3.25-.42-4.81zM10 15V9l5.2 3-5.2 3z\"><\/path><\/svg><\/div><iframe loading=\"lazy\" title=\"Real Talk with Google Data Scientist (with a PhD in Physics)\" width=\"1170\" height=\"658\" data-yt-src=\"https:\/\/www.youtube.com\/embed\/JbNegqgZKCw?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" allowfullscreen><\/iframe><\/div>\n<\/div><\/figure>\n\n\n\n<p>Google\u2019s biggest asset is its data. It handles data from all websites using AdSense (Google\u2019s advertising service) or Google Analytics.&nbsp;Then, Google utilizes this data to analyze customer behavior, and refine its host of products and services. Google offers excellent benefits and salaries that are much higher than the industry average. &nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>5. VMware<\/strong><\/h3>\n\n\n\n<p>A cloud computing and virtualization company, VMware builds technology solutions for multi-cloud businesses. VMware relies on data science to drive research, including anomaly detection, cryptographic agility, cache-adaptive algorithms, and CloudCast. It also has a wide range of active projects like <a href=\"https:\/\/research.vmware.com\/projects\/cloudified-business-network\" target=\"_blank\" rel=\"noreferrer noopener\">Project Pathway<\/a>, <a href=\"https:\/\/research.vmware.com\/projects\/remote-memory\" target=\"_blank\" rel=\"noreferrer noopener\">Remote Memory<\/a>, and <a href=\"https:\/\/research.vmware.com\/projects\/hillview\" target=\"_blank\" rel=\"noreferrer noopener\">Hillview<\/a>. <a href=\"https:\/\/careers.vmware.com\/main\/\" target=\"_blank\" rel=\"noreferrer noopener\">Working for VMware<\/a> as a data scientist, machine learning engineer, or data analyst allows you to join a global community that\u2019s solving critical technology challenges.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>6. Walmart<\/strong><\/h3>\n\n\n\n<p>Walmart has tons of existing data to analyze and is also committed to finding new and innovative ways to apply different kinds of data. Walmart engages in comprehensive data mining to discover point-of-sales data patterns, which are then used to make product recommendations, streamline their supply chain, optimize product assortment, and improve store checkout.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>7. JPMorgan Chase &amp; Co.<\/strong><\/h3>\n\n\n\n<p>JPMorgan Chase &amp; Co. uses data analytics to identify patterns in its customers, and in the financial markets. Its vast customer dataset is analyzed to identify risks, find market opportunities, and increase revenue through customer operations. <em>Fortune Magazine <\/em>has<em> <\/em>consistently ranked <a href=\"https:\/\/www.jpmorganchase.com\/about\" target=\"_blank\" rel=\"noreferrer noopener\">JPMorgan<\/a> as one of \u201cAmerica\u2019s Ideal Employers\u201d and as one of the \u201cWorld&#8217;s Most Admired Companies.\u201d&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>8. PwC<\/strong><\/h3>\n\n\n\n<p>PwC\u2014an international network of professional services firms\u2014utilizes data to assess risk premiums, evaluate the size of a given market, and improve its Total Impact Measurement and Management (TIMM) framework. It also offers comprehensive, flexible, and competitive benefits and salaries. &nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Best Data Science Companies: Up and Coming<\/strong><\/h2>\n\n\n\n<figure class=\"wp-block-image size-large is-style-rounded\"><img loading=\"lazy\" decoding=\"async\" width=\"1200\" height=\"800\" src=\"https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/06\/data-science-companies-1200x800.jpg\" alt=\"data science companies\" class=\"wp-image-46477\" srcset=\"https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/06\/data-science-companies-1200x800.jpg 1200w, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/06\/data-science-companies-400x267.jpg 400w, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/06\/data-science-companies-768x512.jpg 768w, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/06\/data-science-companies-380x253.jpg 380w, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/06\/data-science-companies-700x466.jpg 700w, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/06\/data-science-companies.jpg 1280w, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/06\/data-science-companies-380x253.jpg 420w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>9. Splunk<\/strong><\/h3>\n\n\n\n<p>Splunk is the world&#8217;s first data-to-everything central platform, which allows users to search, monitor, and analyze their data more efficiently. Users interact with a web-style interface and use advanced built-ins like outlier detection, predictive analytics, event clustering, and forecasting. These solutions help businesses enhance their digital customer experience, resilience, and cloud transformation. <a href=\"https:\/\/www.splunk.com\/en_us\/software\/splunk-security-orchestration-and-automation.html\" target=\"_blank\" rel=\"noreferrer noopener\">Splunk SOAR<\/a> (Security Orchestration, Automation and Response), <a href=\"https:\/\/www.splunk.com\/en_us\/software\/splunk-cloud-platform.html\" target=\"_blank\" rel=\"noreferrer noopener\">Cloud Platform<\/a>, <a href=\"https:\/\/www.splunk.com\/en_us\/observability\/infrastructure-monitoring.html\" target=\"_blank\" rel=\"noreferrer noopener\">Infrastructure Monitoring<\/a>, and <a href=\"https:\/\/www.splunk.com\/en_us\/observability.html\" target=\"_blank\" rel=\"noreferrer noopener\">Observability Cloud<\/a> are all state-of-the-art, rapidly growing projects. Last year, <a href=\"https:\/\/www.splunk.com\/en_us\/about-splunk\/awards.html\" target=\"_blank\" rel=\"noreferrer noopener\">Splunk<\/a> was featured in&nbsp;<em>Fortune<\/em>&#8216;s \u201cBest Workplaces in the Bay Area\u201d and&nbsp;<em>CRN<\/em>&#8216;s \u201cCoolest Cloud Software Companies.\u201d&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>10. Numerator<\/strong><\/h3>\n\n\n\n<p>Numerator focuses on customer insights for eCommerce. Many <a href=\"https:\/\/www.numerator.com\/snapshots\" target=\"_blank\" rel=\"noreferrer noopener\">Fortune 100<\/a> companies are Numerator clients, and its data scientists work with the client and consumer data to analyze purchase environments, sentiments, behaviors, and outcomes. &nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>11. Databricks<\/strong><\/h3>\n\n\n\n<p>Databricks is a relatively new company with origins in academia and the open-source community. Its primary product is the <a href=\"https:\/\/databricks.com\/product\/data-lakehouse\" target=\"_blank\" rel=\"noreferrer noopener\">Lakehouse Platform<\/a>, an open and unified platform for data and AI that combines the best of data warehouses and data lakes. Many of the world&#8217;s largest organizations\u2014including Shell, HSBC, T-Mobile, and H&amp;M Group\u2014rely on Databricks to enable massive-scale data engineering, business analytics, full-lifecycle machine learning, and collaborative data science. &nbsp;<\/p>\n\n\n<div class=\"bg-leaf-50 p-4 my-3\"><h4 class=\"fw-bold text-center\">Get To Know Other\tData Science Students<\/h4><div class=\"row row-cols-1 row-cols-lg-3\"><div class=\"col\"><div class=\"card success-story-card h-100 d-flex justify-content-between mb-0\"><div class=\"flex-grow-1 text-center\"><a class=\"d-inline-block rounded-circle\" href=\"\/success\/cassie-gong\" style=\"width:125px;height:125px;overflow:hidden\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/res.cloudinary.com\/springboard-images\/image\/upload\/v1629203193\/Student%20Success\/Cassie_Gong_125x125.png\" alt=\"Mengqin (Cassie) Gong\" style=\"object-fit:contain;max-width:170px;height:125px\" \/><\/a><p class=\"fw-bold mb-0\">Mengqin (Cassie) Gong<\/p><p class=\"text-muted lh-1\">Data Scientist at Whatsapp<\/p><\/div><div class=\"w-100 d-block d-md-none mt-3\"><\/div><p class=\"mb-0 mx-auto text-center\"><a class=\"btn btn-primary mx-auto\" href=\"\/success\/cassie-gong\">Read Story<\/a><\/p><\/div><\/div><div class=\"col d-none d-md-block\"><div class=\"card success-story-card h-100 d-flex justify-content-between mb-0\"><div class=\"flex-grow-1 text-center\"><a class=\"d-inline-block rounded-circle\" href=\"\/success\/meghan-thomason\" style=\"width:125px;height:125px;overflow:hidden\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/res.cloudinary.com\/springboard-images\/image\/upload\/v1629203464\/Student%20Success\/Megan_Thomason_125x125.png\" alt=\"Meghan Thomason\" style=\"object-fit:contain;max-width:170px;height:125px\" \/><\/a><p class=\"fw-bold mb-0\">Meghan Thomason<\/p><p class=\"text-muted lh-1\">Data Scientist at Spin<\/p><\/div><p class=\"mb-0 mx-auto text-center\"><a class=\"btn btn-primary mx-auto\" href=\"\/success\/meghan-thomason\">Read Story<\/a><\/p><\/div><\/div><div class=\"col d-none d-md-block\"><div class=\"card success-story-card h-100 d-flex justify-content-between mb-0\"><div class=\"flex-grow-1 text-center\"><a class=\"d-inline-block rounded-circle\" href=\"\/success\/melanie-hanna\" style=\"width:125px;height:125px;overflow:hidden\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/res.cloudinary.com\/springboard-images\/image\/upload\/v1629203193\/Student%20Success\/Melanie_Hanna_125x125.png\" alt=\"Melanie Hanna\" style=\"object-fit:contain;max-width:170px;height:125px\" \/><\/a><p class=\"fw-bold mb-0\">Melanie Hanna<\/p><p class=\"text-muted lh-1\">Data Scientist at Farmer's Fridge<\/p><\/div><p class=\"mb-0 mx-auto text-center\"><a class=\"btn btn-primary mx-auto\" href=\"\/success\/melanie-hanna\">Read Story<\/a><\/p><\/div><\/div><\/div><\/div>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>12. Cloudera<\/strong><\/h3>\n\n\n\n<p>Cloudera is a hybrid data cloud company that makes data and analytics easy and accessible for everyone. Clients can combine private and public clouds to unearth more powerful business insights. Cloudera operates within a broad spectrum of industries, including financial services, retail, technology, healthcare, education, and manufacturing. &nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>13. Teradata<\/strong><\/h3>\n\n\n\n<p>Teradata is another multi-cloud data company providing database and analytics software, products, and services. The <a href=\"https:\/\/www.teradata.com\/Vantage\" target=\"_blank\" rel=\"noreferrer noopener\">Teradata Vantage<\/a> platform gives clients the flexibility and capabilities to handle massive and mixed data workloads. Teradata also offers cloud analytics, consumption pricing, and cloud data sharing services. You could build a data science career at Teradata in engineering, sales, marketing, consulting, or product management.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>14. Unified<\/strong><\/h3>\n\n\n\n<p>Unified is a leading provider of data-driven social advertising services and solutions. It leverages its proprietary technology to analyze marketing data sets and optimize investments across the consumer journey. Many&nbsp;<em>Fortune 500<\/em> companies rely on Unified for these services, and <a href=\"https:\/\/www.unified.com\/careers-and-culture\/\" target=\"_blank\" rel=\"noreferrer noopener\">Unified<\/a> is also a four-time winner of both&nbsp;<em>Ad Age<\/em>\u2019s \u201cBest Places to Work\u201d and&nbsp;<em>Crain\u2019s<\/em> \u201cNew York City Best Places to Work.\u201d &nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>15. Alteryx<\/strong><\/h3>\n\n\n\n<p>Alteryx is a leading IT service and consulting firm utilizing data analytics to help organizations solve business and societal problems. Alteryx offers an end-to-end platform that unifies analytics, data science, and process automation to deliver high-impact business outcomes. Its cutting-edge analytic process automation (APA) services turn data into actionable insights, empowering businesses to discover robust solutions. The <a href=\"https:\/\/www.alteryx.com\/products\/alteryx-cloud\" target=\"_blank\" rel=\"noreferrer noopener\">Alteryx Analytics Cloud<\/a>, <a href=\"https:\/\/www.alteryx.com\/analytic-process-automation\" target=\"_blank\" rel=\"noreferrer noopener\">APA Platform<\/a>, <a href=\"https:\/\/www.alteryx.com\/products\/intelligence-suite\" target=\"_blank\" rel=\"noreferrer noopener\">Intelligence Suite<\/a>, and <a href=\"https:\/\/www.alteryx.com\/products\/designer-cloud\" target=\"_blank\" rel=\"noreferrer noopener\">Designer Cloud<\/a> are all designed for optimal efficiency.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>16. Civis Analytics<\/strong><\/h3>\n\n\n\n<p>Civis Analytics is a data science software and consultancy company that helps organizations use their data to gain a competitive advantage, fuel innovation, and boost customer engagement. Some of the country&#8217;s largest organizations\u2014including Verizon, Discovery, Airbnb, and Boeing\u2014are all Civis clients. Civis relies on an interdisciplinary team of data scientists, developers, and survey science experts to create tailored client solutions. This year, it was voted as one of <a href=\"https:\/\/www.civisanalytics.com\/careers\/\" target=\"_blank\" rel=\"noreferrer noopener\">Built In\u2019s<\/a> \u201cBest Places to Work in Chicago.\u201d&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>17. Sumo Logic<\/strong><\/h3>\n\n\n\n<p>An innovative data analytics company, Sumo Logic focuses on delivering real-time analytics to empower digital businesses. Its scalable, cloud-native <a href=\"https:\/\/www.sumologic.com\/continuous-intelligence-platform\/\" target=\"_blank\" rel=\"noreferrer noopener\">Continuous Intelligence Platform<\/a> enables smarter data-driven decisions and quicker investigations of security and operational issues. Sumo Logic works with Grammarly, Adobe, Airbnb, and The Pokemon Company to provide analytics, including log aggregation and security threats and vulnerabilities. <a href=\"https:\/\/www.sumologic.com\/company\/newsroom\/awards\/\" target=\"_blank\" rel=\"noreferrer noopener\">Sumo Logic<\/a> was featured in&nbsp;<em>Forbes\u2019<\/em> list of \u201cBest Cloud Companies\u201d and&nbsp;<em>Fortune<\/em>&#8216;s list of \u201cBest Workplaces in the Bay Area in 2020.\u201d &nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>18. Sisense<\/strong><\/h3>\n\n\n\n<p>Sisense is a business intelligence software company that delivers a seamless, simplified, and customizable AI-driven platform. The <a href=\"https:\/\/www.sisense.com\/platform\/\" target=\"_blank\" rel=\"noreferrer noopener\">Sisense Fusion<\/a> platform provides state-of-the-art data modeling, visualization, embedding, and connectivity capabilities for a range of departments and industries. Sisense was also listed as a \u201cvisionary\u201d on the <a href=\"https:\/\/www.gartner.com\/en\/webinars\/3999527\/gartner-2021-analytics-business-intelligence-platforms-magic-qua\" target=\"_blank\" rel=\"noreferrer noopener\">Gartner Magic Quadrant<\/a> for analytics and business intelligence platforms in February of last year. Its clients include Skullcandy, ZipRecruiter, GitLab, GameDay, Interfolio, and Glytec.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Best Data Science Companies: Startups<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>19. Algorithmia<\/strong><\/h3>\n\n\n\n<p>Algorithmia is a machine learning model deployment and management solution provider. Recently acquired by <a href=\"https:\/\/www.datarobot.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">DataRobot<\/a>, it utilizes world-class enterprise-grade infrastructure to manage the production machine learning lifecycle within existing operational processes. Thousands of non-governmental organizations, government intelligence agencies, and&nbsp;<em>Fortune 500<\/em> companies leverage Algorithmia to operationalize their machine learning use cases.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>20. Resurface Labs<\/strong><\/h3>\n\n\n\n<p>Resurface Labs specializes in continuous API security. Its primary product is its API management software, Resurface, which enables businesses to capture, store, and explore different API architectures. Resurface also allows clients to use actual user data for faster threat detection, improved troubleshooting, and smarter tests. Because it&#8217;s not software as a service (SaaS) company, it gathers real-time actionable data while maintaining private, first-party ownership. Working with Resurface offers a tremendous growth opportunity at a remote-first company.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>21. Cropin<\/strong><\/h3>\n\n\n\n<p>Cropin is an Earth observation and AI-led AgTech organization enabling data-driven farming. It aims to \u201cre-imagine agriculture with data\u201d using a multi-disciplinary approach toward AI, earth observation, agriculture, meteorology, and computer sciences. Cropin leverages pixel-level data from satellite imagery to bring meaningful insight to improve the ag-ecosystem. Cropin currently provides <a href=\"https:\/\/www.cropin.com\/our-work\" target=\"_blank\" rel=\"noreferrer noopener\">SaaS solutions<\/a> to 225 agribusinesses, and numerous governmental and non-governmental organizations in more than 50 countries. &nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>22. TheMathCompany<\/strong><\/h3>\n\n\n\n<p>A hybrid business consulting and services firm, TheMathCompany builds custom AI enterprise applications. It leverages <a href=\"https:\/\/themathcompany.com\/meet-codx\" target=\"_blank\" rel=\"noreferrer noopener\">Co.dx<\/a>, its proprietary AI master engine, to assist with data extraction, algorithm development, performance monitoring, and feature engineering. It has also been named among the Asia-Pacific\u2019s <a href=\"https:\/\/themathcompany.com\/news\" target=\"_blank\" rel=\"noreferrer noopener\">fastest-growing companies<\/a> by the Nikkei-FT-Statista APAC.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>FAQs About Applying To Work at a Data Science Company<\/strong><\/h2>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full is-style-rounded\"><img loading=\"lazy\" decoding=\"async\" width=\"1080\" height=\"719\" src=\"https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/06\/data-science-companies-faqs-about-applying-to-work-at-a-data-science-company.jpg\" alt=\"data science companies, FAQs About Applying To Work at a Data Science Company\" class=\"wp-image-46479\" srcset=\"https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/06\/data-science-companies-faqs-about-applying-to-work-at-a-data-science-company.jpg 1080w, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/06\/data-science-companies-faqs-about-applying-to-work-at-a-data-science-company-400x266.jpg 400w, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/06\/data-science-companies-faqs-about-applying-to-work-at-a-data-science-company-768x511.jpg 768w, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/06\/data-science-companies-faqs-about-applying-to-work-at-a-data-science-company-380x253.jpg 380w, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/06\/data-science-companies-faqs-about-applying-to-work-at-a-data-science-company-700x466.jpg 700w, https:\/\/www.springboard.com\/blog\/wp-content\/uploads\/2022\/06\/data-science-companies-faqs-about-applying-to-work-at-a-data-science-company-380x253.jpg 420w\" sizes=\"(max-width: 1080px) 100vw, 1080px\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>What Red Flags Should You Look for When Considering a Data Science Company?<\/strong><\/h3>\n\n\n\n<p>A vague <a href=\"https:\/\/www.springboard.com\/blog\/data-science\/data-scientist-job-description\/\" target=\"_blank\" rel=\"noreferrer noopener\">job description<\/a> is one of the first red flags you might spot. You want a clear picture of the <a href=\"https:\/\/www.springboard.com\/blog\/data-science\/data-science-projects\/\" target=\"_blank\" rel=\"noreferrer noopener\">projects<\/a> you&#8217;ll be working on and the expertise you&#8217;ll need for the job.&nbsp;<\/p>\n\n\n\n<p>You should also be wary of opportunities that set unrealistic expectations with job responsibilities. Make sure the employer values a healthy work-life balance and will support your career progression.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Are Data Scientists Paid Well?<\/strong><\/h3>\n\n\n\n<p>Yes. Last year, the <a href=\"https:\/\/www.bls.gov\/oes\/current\/oes152051.htm#(1)\" target=\"_blank\" rel=\"noreferrer noopener\">U.S. Bureau of Labor Statistics<\/a> estimated that the mean annual <a href=\"https:\/\/www.springboard.com\/blog\/data-science\/data-science-salaries\/\" target=\"_blank\" rel=\"noreferrer noopener\">salary for a data scientist<\/a> was $108,660. This number should increase as the demand for skilled data scientists continues growing in the coming years.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>How Do I Get a Job as a Data Scientist?<\/strong><\/h3>\n\n\n\n<p>Many different career paths can lead to a job as a data scientist. Check out our other blog posts to read more about <a href=\"https:\/\/www.springboard.com\/blog\/data-science\/learn-data-science-on-your-own\/\" target=\"_blank\" rel=\"noreferrer noopener\">learning data science from scratch<\/a>, how to build an awesome <a href=\"https:\/\/www.springboard.com\/blog\/data-science\/data-science-resume\/\" target=\"_blank\" rel=\"noreferrer noopener\">data science resume<\/a>, or the most common <a href=\"https:\/\/www.springboard.com\/blog\/data-science\/machine-learning-interview-questions\/\" target=\"_blank\" rel=\"noreferrer noopener\">data science interview questions and answers<\/a>.&nbsp;<\/p>\n\n\n\n<p>Companies are no longer just collecting data. They\u2019re seeking to use it to outpace competitors, especially with the rise of AI and advanced analytics techniques. Between organizations and these techniques are the data scientists \u2013 the experts who crunch numbers and translate them into actionable strategies. The future, it seems, belongs to those who can decipher the story hidden within the data, making the role of data scientists more important than ever.<\/p>\n\n\n\n<p>In this article, we\u2019ll look at 13 careers in data science, analyzing the roles and responsibilities and how to land that specific job in the best way. Whether you\u2019re more drawn out to the creative side or interested in the strategy planning part of data architecture, there\u2019s a niche for you.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Is Data Science A Good Career?<\/h2>\n\n\n\n<p>Yes. Besides being a field that comes with competitive salaries, the demand for data scientists continues to increase as they have an enormous impact on their organizations. It\u2019s an interdisciplinary field that keeps the work varied and interesting.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">10 Data Science Careers To Consider<\/h2>\n\n\n\n<p>Whether you want to change careers or land your first job in the field, here are 13 of the most lucrative data science careers to consider.<\/p>\n\n\n\n<div class=\"wp-block-essential-blocks-pro-data-table\"><div class=\"eb-parent-wrapper eb-parent-eb-data-table-cabj7 \"><div class=\"eb-data-table-cabj7 eb-data-table-wrapper\"><div class=\"eb-data-table-wrapper-inner\" data-post-id=\"13385\" data-block-id=\"eb-data-table-cabj7\" data-hide-header=\"false\" data-fixed-header=\"false\" data-show-pagination=\"false\" data-show-search=\"false\" data-fixed-header-scroll-height=\"300\"><\/div><\/div><\/div><\/div>\n\n\n\n<p><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Data Scientist<\/h3>\n\n\n\n<p>Data scientists represent the foundation of the data science department. At the core of their role is the ability to analyze and interpret complex digital data, such as usage statistics, sales figures, logistics, or market research \u2013 all depending on the field they operate in.<\/p>\n\n\n\n<p>They combine their computer science, statistics, and mathematics expertise to process and model data, then interpret the outcomes to create actionable plans for companies.&nbsp;<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">General Requirements<\/h4>\n\n\n\n<p>A data scientist\u2019s career starts with a solid mathematical foundation, whether it\u2019s interpreting the results of an A\/B test or optimizing a marketing campaign. Data scientists should have programming expertise (primarily in Python and R) and strong data manipulation skills.&nbsp;<\/p>\n\n\n\n<p>Although a university degree is not always required beyond their on-the-job experience, data scientists need a bunch of <a href=\"https:\/\/www.springboard.com\/blog\/data-science\/best-data-science-courses\/\">data science courses<\/a> and certifications that demonstrate their expertise and willingness to learn.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Average Salary<\/h4>\n\n\n\n<p>The average salary of a data scientist in the US is <a href=\"https:\/\/www.glassdoor.com\/Salaries\/data-scientist-salary-SRCH_KO0,14.htm\" target=\"_blank\" rel=\"noopener\">$156,363<\/a> per year.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Data Analyst<\/h3>\n\n\n\n<p>A data analyst explores the nitty-gritty of data to uncover patterns, trends, and insights that are not always immediately apparent. They collect, process, and perform statistical analysis on large datasets and translate numbers and data to inform business decisions.<\/p>\n\n\n\n<p>A typical day in their life can involve using tools like Excel or SQL and more advanced reporting tools like Power BI or Tableau to create dashboards and reports or visualize data for stakeholders. With that in mind, they have a unique skill set that allows them to act as a bridge between an organization&#8217;s technical and business sides.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">General Requirements<\/h4>\n\n\n\n<p>To become a data analyst, you should have basic programming skills and proficiency in several data analysis tools. A lot of data analysts turn to specialized courses or <a href=\"https:\/\/www.springboard.com\/blog\/data-science\/best-data-science-bootcamps\/\">data science bootcamps<\/a> to acquire these skills.&nbsp;<\/p>\n\n\n\n<p>For example, Coursera offers courses like Google&#8217;s Data Analytics Professional Certificate or IBM&#8217;s Data Analyst Professional Certificate, which are well-regarded in the industry. A bachelor&#8217;s degree in fields like computer science, statistics, or economics is standard, but many data analysts also come from diverse backgrounds like business, finance, or even social sciences.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Average Salary<\/h4>\n\n\n\n<p>The average base salary of a data analyst is <a href=\"https:\/\/www.indeed.com\/career\/data-analyst\/salaries\" target=\"_blank\" rel=\"noopener\">$76,892<\/a> per year.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Business Analyst<\/h3>\n\n\n\n<p>Business analysts often have an essential role in an organization, driving change and improvement. That\u2019s because their main role is to understand business challenges and needs and translate them into solutions through data analysis, process improvement, or resource allocation.&nbsp;<\/p>\n\n\n\n<p>A typical day as a business analyst involves conducting market analysis, assessing business processes, or developing strategies to address areas of improvement. They use a variety of tools and methodologies, like SWOT analysis, to evaluate business models and their integration with technology.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">General Requirements<\/h4>\n\n\n\n<p>Business analysts often have related degrees, such as BAs in Business Administration, Computer Science, or IT. Some roles might require or favor a master\u2019s degree, especially in more complex industries or corporate environments.<\/p>\n\n\n\n<p>Employers also value a business analyst\u2019s knowledge of project management principles like Agile or Scrum and the ability to think critically and make well-informed decisions.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Average Salary<\/h4>\n\n\n\n<p>A business analyst can earn an average of <a href=\"https:\/\/www.indeed.com\/career\/business-analyst\/salaries\" target=\"_blank\" rel=\"noopener\">$84,435<\/a> per year.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Database Administrator<\/h3>\n\n\n\n<p>The role of a database administrator is multifaceted. Their responsibilities include managing an organization&#8217;s database servers and application tools.&nbsp;<\/p>\n\n\n\n<p>A DBA manages, backs up, and secures the data, making sure the database is available to all the necessary users and is performing correctly. They are also responsible for setting up user accounts and regulating access to the database. DBAs need to stay updated with the latest trends in database management and seek ways to improve database performance and capacity. As such, they collaborate closely with IT and database programmers.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">General Requirements<\/h4>\n\n\n\n<p>Becoming a database administrator typically requires a solid educational foundation, such as a BA degree in data science-related fields. Nonetheless, it\u2019s not all about the degree because real-world skills matter a lot. Aspiring database administrators should learn database languages, with SQL being the key player. They should also get their hands dirty with popular database systems like Oracle and Microsoft SQL Server.&nbsp;<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Average Salary<\/h4>\n\n\n\n<p>Database administrators earn an average salary of <a href=\"https:\/\/www.indeed.com\/career\/database-administrator\/salaries\" target=\"_blank\" rel=\"noopener\">$77,391<\/a> annually.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Data Engineer<\/h3>\n\n\n\n<p>Successful data engineers construct and maintain the infrastructure that allows the data to flow seamlessly. Besides understanding data ecosystems on the day-to-day, they build and oversee the pipelines that gather data from various sources so as to make data more accessible for those who need to analyze it (e.g., data analysts).<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">General Requirements<\/h4>\n\n\n\n<p>Data engineering is a role that demands not just technical expertise in tools like SQL, Python, and Hadoop but also a creative problem-solving approach to tackle the complex challenges of managing massive amounts of data efficiently.&nbsp;<\/p>\n\n\n\n<p>Usually, employers look for credentials like university degrees or advanced data science courses and bootcamps.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Average Salary<\/h4>\n\n\n\n<p>Data engineers earn a whooping average salary of <a href=\"https:\/\/www.glassdoor.com\/Salaries\/data-engineer-salary-SRCH_KO0,13.htm\" target=\"_blank\" rel=\"noopener\">$125,180<\/a> per year.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Database Architect<\/h3>\n\n\n\n<p>A database architect\u2019s main responsibility involves designing the entire blueprint of a data management system, much like an architect who sketches the plan for a building. They lay down the groundwork for an efficient and scalable data infrastructure.&nbsp;<\/p>\n\n\n\n<p>Their day-to-day work is a fascinating mix of big-picture thinking and intricate detail management. They decide how to store, consume, integrate, and manage data by different business systems.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">General Requirements<\/h4>\n\n\n\n<p>If you\u2019re aiming to excel as a database architect but don\u2019t necessarily want to pursue a degree, you could start honing your technical skills. Become proficient in database systems like MySQL or Oracle, and learn data modeling tools like ERwin. Don\u2019t forget programming languages &#8211; SQL, Python, or Java.&nbsp;<\/p>\n\n\n\n<p>If you want to take it one step further, pursue a credential like the Certified Data Management Professional (CDMP) or the <a href=\"https:\/\/www.springboard.com\/courses\/data-science-career-track\/\">Data Science Bootcamp by Springboard<\/a>.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Average Salary<\/h4>\n\n\n\n<p>Data architecture is a very lucrative career. A database architect can earn an average of <a href=\"https:\/\/www.glassdoor.com\/Salaries\/data-architect-salary-SRCH_KO0,14.htm\" target=\"_blank\" rel=\"noopener\">$165,383<\/a> per year.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Machine Learning Engineer<\/h3>\n\n\n\n<p>A machine learning engineer experiments with various machine learning models and algorithms, fine-tuning them for specific tasks like image recognition, natural language processing, or predictive analytics. Machine learning engineers also collaborate closely with data scientists and analysts to understand the requirements and limitations of data and translate these insights into solutions.&nbsp;<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">General Requirements<\/h4>\n\n\n\n<p>As a rule of thumb, machine learning engineers must be proficient in programming languages like Python or Java, and be familiar with machine learning frameworks like TensorFlow or PyTorch. To successfully pursue this career, you can either choose to undergo a degree or enroll in courses and follow a self-study approach.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Average Salary<\/h4>\n\n\n\n<p>Depending heavily on the company&#8217;s size, machine learning engineers can earn between <a href=\"https:\/\/www.glassdoor.com\/Salaries\/machine-learning-engineer-salary-SRCH_KO0,25.htm\" target=\"_blank\" rel=\"noopener\">$125K and $187K<\/a> per year, one of the <a href=\"https:\/\/www.springboard.com\/blog\/data-science\/careers-in-ai\/\">highest-paying AI careers<\/a>.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Quantitative Analyst<\/h3>\n\n\n\n<p>Qualitative analysts are essential for financial institutions, where they apply mathematical and statistical methods to analyze financial markets and assess risks. They are the brains behind complex models that predict market trends, evaluate investment strategies, and assist in making informed financial decisions.&nbsp;<\/p>\n\n\n\n<p>They often deal with derivatives pricing, algorithmic trading, and risk management strategies, requiring a deep understanding of both finance and mathematics.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">General Requirements<\/h4>\n\n\n\n<p>This data science role demands strong analytical skills, proficiency in mathematics and statistics, and a good grasp of financial theory. It always helps if you come from a finance-related background.&nbsp;<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Average Salary<\/h4>\n\n\n\n<p>A quantitative analyst earns an average of <a href=\"https:\/\/www.glassdoor.com\/Salaries\/quantitative-analyst-salary-SRCH_KO0,20.htm\" target=\"_blank\" rel=\"noopener\">$173,307<\/a> per year.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Data Mining Specialist<\/h3>\n\n\n\n<p>A data mining specialist uses their statistics and machine learning expertise to reveal patterns and insights that can solve problems. They swift through huge amounts of data, applying algorithms and data mining techniques to identify correlations and anomalies. In addition to these, data mining specialists are also essential for organizations to predict future trends and behaviors.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">General Requirements<\/h4>\n\n\n\n<p>If you want to land a career in data mining, you should possess a degree or have a solid background in computer science, statistics, or a related field.&nbsp;<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Average Salary<\/h4>\n\n\n\n<p>Data mining specialists earn <a href=\"https:\/\/www.glassdoor.com\/Salaries\/data-mining-specialist-salary-SRCH_KO0,22.htm\" target=\"_blank\" rel=\"noopener\">$109,023<\/a> per year.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Data Visualisation Engineer<\/h3>\n\n\n\n<p>Data visualisation engineers specialize in transforming data into visually appealing graphical representations, much like a data storyteller. A big part of their day involves working with data analysts and business teams to understand the data\u2019s context.&nbsp;<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">General Requirements<\/h4>\n\n\n\n<p>Data visualization engineers need a strong foundation in data analysis and be proficient in programming languages often used in data visualization, such as JavaScript, Python, or R. A valuable addition to their already-existing experience is a bit of expertise in design principles to allow them to create visualizations.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Average Salary<\/h4>\n\n\n\n<p>The average annual pay of a data visualization engineer is <a href=\"https:\/\/www.glassdoor.com\/Salaries\/data-visualization-engineer-salary-SRCH_KO0,27.htm\" target=\"_blank\" rel=\"noopener\">$103,031<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Resources To Find Data Science Jobs<\/h2>\n\n\n\n<p>The key to finding a good data science job is knowing where to look without procrastinating. To make sure you leverage the right platforms, read on.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Job Boards<\/h3>\n\n\n\n<p>When hunting for data science jobs, both niche job boards and general ones can be treasure troves of opportunity.&nbsp;<\/p>\n\n\n\n<p>Niche boards are created specifically for data science and related fields, offering listings that cut through the noise of broader job markets. Meanwhile, general job boards can have hidden gems and opportunities.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Online Communities<\/h3>\n\n\n\n<p>Spend time on platforms like Slack, Discord, GitHub, or IndieHackers, as they are a space to share knowledge, collaborate on projects, and find job openings posted by community members.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Network And LinkedIn<\/h3>\n\n\n\n<p>Don\u2019t forget about socials like LinkedIn or Twitter. The LinkedIn Jobs section, in particular, is a useful resource, offering a wide range of opportunities and the ability to directly reach out to hiring managers or apply for positions. Just make sure not to apply through the \u201cEasy Apply\u201d options, as you\u2019ll be competing with thousands of applicants who bring nothing unique to the table.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">FAQs about Data Science Careers<\/h2>\n\n\n\n<p>We answer your most frequently asked questions.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Do I Need A Degree For Data Science?<\/h3>\n\n\n\n<p>A degree is not a set-in-stone requirement to <a href=\"https:\/\/www.springboard.com\/blog\/data-science\/learn-data-science-without-degree\/\">become a data scientist<\/a>. It\u2019s true many data scientists hold a BA\u2019s or MA\u2019s degree, but these just provide foundational knowledge. It\u2019s up to you to pursue further education through courses or bootcamps or work on projects that enhance your expertise. What matters most is your ability to demonstrate proficiency in data science concepts and tools.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Does Data Science Need Coding?<\/h3>\n\n\n\n<p>Yes. Coding is essential for data manipulation and analysis, especially knowledge of programming languages like Python and R.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Is Data Science A Lot Of Math?<\/h3>\n\n\n\n<p>It depends on the career you want to pursue. Data science involves quite a lot of math, particularly in areas like statistics, probability, and linear algebra.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">What Skills Do You Need To Land an Entry-Level Data Science Position?<\/h3>\n\n\n\n<p>To land an entry-level job in data science, you should be proficient in several areas. As mentioned above, knowledge of programming languages is essential, and you should also have a good understanding of statistical analysis and machine learning. Soft skills are equally valuable, so make sure you\u2019re acing problem-solving, critical thinking, and effective communication.<\/p>\n\n\n\n<p class=\"rm has-background\" style=\"background-color:#efeff6\"><strong>Since you\u2019re here\u2026<\/strong>Are you interested in this career track? Investigate with our free guide to <a href=\"https:\/\/www.springboard.com\/blog\/data-science\/what-does-a-data-scientist-do\/\" data-type=\"post\" data-id=\"24427\">what a data professional <em>actually<\/em> does<\/a>. When you\u2019re ready to build a CV that will make hiring managers melt, join our <a href=\"https:\/\/www.springboard.com\/courses\/data-science-career-track\/\" data-type=\"URL\" data-id=\"https:\/\/www.springboard.com\/courses\/data-science-career-track\/\" target=\"_blank\" rel=\"noreferrer noopener\">Data Science Bootcamp<\/a> which will help you land a job or your tuition back!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Big data is transforming industries across the globe. As data increasingly help companies gain valuable insights and make more informed decisions, it\u2019s no surprise that data science jobs are also growing exponentially.&nbsp; The U.S. Bureau of Labor Statistics estimates that job opportunities for computer and information research scientists\u2014including data science roles\u2014will grow 22% by 2030, [&hellip;]<\/p>\n","protected":false},"author":100,"featured_media":46661,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_eb_attr":"","_eb_data_table":"{\"eb-data-table-cabj7\":{\"columns\":{\"col\":[\"Column 1\",\"Column 2\"],\"width\":[\"\",\"\"]},\"rows\":[[\"\",\"\"],[\"\",\"\"],[\"\",\"\"],[\"\",\"\"],[\"\",\"\"]]}}","footnotes":""},"categories":[67],"tags":[],"marketing_tags":[1478],"class_list":{"0":"post-14446","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-data-science"},"acf":[],"_links":{"self":[{"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/posts\/14446"}],"collection":[{"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/users\/100"}],"replies":[{"embeddable":true,"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/comments?post=14446"}],"version-history":[{"count":4,"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/posts\/14446\/revisions"}],"predecessor-version":[{"id":56387,"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/posts\/14446\/revisions\/56387"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/media\/46661"}],"wp:attachment":[{"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/media?parent=14446"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/categories?post=14446"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/tags?post=14446"},{"taxonomy":"marketing_tags","embeddable":true,"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/marketing_tags?post=14446"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}