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We’ve built an exceptional team of people from around the globe whose mission is to push the frontiers of what’s possible and to define the platform for the future of computing.</p>\n<p>Learn More</p>\n<p>Meet More Teams</p>\n<p>Ready to Join Us?</p>\n<p>Get Started Here</p>\n<p>How We Hire</p>\n<p>Select Location</p>\n<p>The Americas</p>\n<ul>\n<li>Argentina</li>\n</ul>\n<ul>\n<li>Brasil (Brazil)</li>\n</ul>\n<ul>\n<li>Canada</li>\n</ul>\n<ul>\n<li>Chile</li>\n</ul>\n<ul>\n<li>Colombia</li>\n</ul>\n<ul>\n<li>México (Mexico)</li>\n</ul>\n<ul>\n<li>Peru</li>\n</ul>\n<ul>\n<li>United States</li>\n</ul>\n<p>Europe</p>\n<ul>\n<li>België (Belgium)</li>\n</ul>\n<ul>\n<li>Belgique (Belgium)</li>\n</ul>\n<ul>\n<li>Česká Republika (Czech Republic)</li>\n</ul>\n<ul>\n<li>Danmark (Denmark)</li>\n</ul>\n<ul>\n<li>Deutschland (Germany)</li>\n</ul>\n<ul>\n<li>España (Spain)</li>\n</ul>\n<ul>\n<li>France</li>\n</ul>\n<ul>\n<li>Italia (Italy)</li>\n</ul>\n<ul>\n<li>Nederland (Netherlands)</li>\n</ul>\n<ul>\n<li>Norge (Norway)</li>\n</ul>\n<ul>\n<li>Österreich (Austria)</li>\n</ul>\n<ul>\n<li>Polska (Poland)</li>\n</ul>\n<ul>\n<li>România (Romania)</li>\n</ul>\n<ul>\n<li>Suomi (Finland)</li>\n</ul>\n<ul>\n<li>Sverige (Sweden)</li>\n</ul>\n<ul>\n<li>Türkiye (Turkey)</li>\n</ul>\n<ul>\n<li>United Kingdom</li>\n</ul>\n<ul>\n<li>Rest of Europe</li>\n</ul>\n<p>Asia</p>\n<ul>\n<li>Australia</li>\n</ul>\n<ul>\n<li>中国大陆 (Mainland China)</li>\n</ul>\n<ul>\n<li>India</li>\n</ul>\n<ul>\n<li>日本 (Japan)</li>\n</ul>\n<ul>\n<li>대한민국 (South Korea)</li>\n</ul>\n<ul>\n<li>Singapore</li>\n</ul>\n<ul>\n<li>台灣 (Taiwan)</li>\n</ul>\n<p>Middle East</p>\n<ul>\n<li>Middle East</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b9b05cff-a6e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://www.nvidia.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Taiwan-Taipei/Manager--System-Firmware_JR2014937?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":null,"x-experience-level":null,"x-job-type":null,"x-salary-range":null,"x-skills-required":["RAPIDS","data science","machine learning","AI","deep learning","GPU","high-performance computing"],"x-skills-preferred":[],"datePosted":"2026-05-18T22:24:28.583Z","skills":"RAPIDS, data science, machine learning, AI, deep learning, GPU, high-performance computing"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_add79b0c-a46"},"title":"Data Scientist","description":"<p>Like No Place You’ve Ever Worked</p>\n<p>Find Your Next Job</p>\n<p>Follow Your Passion. Lead a Movement.</p>\n<p>You’ll solve some of the world’s hardest problems and discover never-before-seen ways to improve the quality of life for people everywhere. From healthcare to robots. Self-driving cars to blockbuster movies. And a growing list of new opportunities every single day. Watch this video for a glimpse at why NVIDIA is like no place you&#39;ve ever worked.</p>\n<p><strong>Explore Life at NVIDIA</strong></p>\n<p>We’re an eclectic, passionate group of professionals dedicated to solving some of the world’s biggest challenges. The project is the boss,even for our CEO. We thrive on seamless collaboration and shared success while embracing diversity and individuality. Everyone contributes. Everyone belongs.</p>\n<p><strong>Help Us Transform Entire Industries</strong></p>\n<p>The breakthroughs we’re making at NVIDIA are impacting businesses everywhere, helping them work faster, better, and smarter. Join our team. 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Lead a Movement.</strong></p>\n<p>You’ll solve some of the world’s hardest problems and discover never-before-seen ways to improve the quality of life for people everywhere. From healthcare to robots. Self-driving cars to blockbuster movies. And a growing list of new opportunities every single day. Watch this video for a glimpse at why NVIDIA is like no place you&#39;ve ever worked.</p>\n<p><strong>Explore Life at NVIDIA</strong></p>\n<p>We’re an eclectic, passionate group of professionals dedicated to solving some of the world’s biggest challenges. The project is the boss,even for our CEO. We thrive on seamless collaboration and shared success while embracing diversity and individuality. Everyone contributes. Everyone belongs.</p>\n<p>Explore Now</p>\n<p><strong>Help Us Transform Entire Industries</strong></p>\n<p>The breakthroughs we’re making at NVIDIA are impacting businesses everywhere, helping them work faster, better, and smarter. Join our team. 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You will architect core systems that let us rigorously evaluate signals from our AI-driven predictions in public and private equities and our internal portfolio.</p>\n<p>This role sits at the intersection of quantitative finance, healthcare data, and AI-driven drug development. 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The ideal candidate will have a strong background in data science, machine learning, and software development, with a proven track record of delivering high-quality results in a fast-paced environment.</p>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>MS or PhD in a quantitative field (statistics, finance, physics, computational science, engineering, or related)</li>\n<li>1-3 years in a quantitative research, data science, or analytics role , finance, healthcare, academic research, or consulting all count; substantive internships qualify</li>\n<li>Strong Python programming skills with experience in data-intensive workflows (pandas, numpy, scipy)</li>\n<li>Solid grasp of core portfolio construction and risk concepts: position sizing, rebalancing, Sharpe ratio, drawdown, volatility, benchmark comparison</li>\n<li>Demonstrated ability to work with messy, real-world datasets , comfortable with data wrangling, deduplication, and quality assessment</li>\n<li>Clear communicator who can present quantitative results to both technical peers and business stakeholders</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Experience with backtesting frameworks or portfolio simulation (vectorbt, Backtrader, or custom implementations)</li>\n<li>Exposure to healthcare, pharma, or biotech data (clinical trials, claims data, -omics, real-world evidence)</li>\n<li>Familiarity with alternative data in a research or investment context</li>\n<li>Experience with probability-of-success modeling, drug development decision analysis, or health economics</li>\n<li>Comfort with LLMs or AI/ML pipelines in a production or research setting</li>\n<li>Familiarity with dashboard/visualization tools (Streamlit, Plotly, Dash) and pipeline orchestration (Dagster, Airflow)</li>\n</ul>\n<p><strong>Total Compensation Range:</strong> $154,500 - $202,000</p>\n<p>**Compensation Individual compensation is determined by several factors, including role scope, geographic location, and skills &amp; experience. 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As a Data Scientist, you will be responsible for analysing large datasets to gain insights and inform our racing strategy.  ### Responsibilities  </em> Develop and implement data analysis and machine learning models to improve our racing performance <em> Work closely with our engineering and racing teams to understand their needs and develop solutions </em> Collaborate with our data engineers to design and implement data pipelines and architectures <em> Develop and maintain data visualisation tools to communicate insights to our teams </em> Stay up-to-date with the latest developments in data science and machine learning <em> Work with our data engineers to ensure data quality and integrity </em> Develop and maintain data documentation and standards <em> Collaborate with our racing teams to develop and implement data-driven strategies </em> Work with our data engineers to develop and implement data-driven decision-making tools <em> Develop and maintain data visualisation tools to communicate insights to our teams </em> Stay up-to-date with the latest developments in data science and machine learning <em> Work with our data engineers to ensure data quality and integrity </em> Develop and maintain data documentation and standards  ### Requirements  <em> Bachelor&#39;s degree in Computer Science, Mathematics, Statistics, or a related field </em> 2+ years of experience in data science or a related field <em> Strong programming skills in Python, R, or SQL </em> Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch <em> Experience with data visualisation tools such as Matplotlib, Seaborn, or Plotly </em> Strong understanding of statistical concepts and techniques <em> Experience with data engineering and data architecture </em> Strong communication and collaboration skills <em> Ability to work in a fast-paced environment  ### Benefits  </em> Competitive salary and benefits package <em> Opportunity to work with a professional motorsport organisation </em> Collaborative and dynamic work environment <em> Opportunities for professional growth and development </em> Access to cutting-edge technology and tools * Flexible working hours and remote work options  ## How to Apply  If you are a motivated and talented Data Scientist looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information]. 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