Data Scientist jobs

What you’ll be doing:

• Critical member of revenue forecasting processes and conduct detailed variance analysis to deliver actionable insights in a fast-paced, high-growth environment.

• Build and maintain dynamic financial models to project revenue, costs, and gross margins, supporting strategic planning and performance management.

• Analyze complex financial data and trends to provide clear, data-driven recommendations to senior leadership and cross-functional business partners.

• Champion continuous improvement initiatives in financial reporting by implementing automation and optimizing reporting processes.

• Ensure accurate and timely financial reporting in accordance with the FP&A calendar and quarter-end close requirements, maintaining high standards of data integrity and compliance.

What we need to see:

• 12+ overall years of financial planning experience, especially with data analytics and data modeling of a business unit, supporting a global, high-tech corporation.

• Bachelor’s degree or equivalent experience in Finance, Economics, Business; MBA a plus.

• Expert analytical skills and advanced financial modeling techniques in Excel, with ability to build and convey business insight.

• Define new processes and analytics as well as influence business decisions.

• Ability to improve and streamline manual processes and drive efficiency.

• Strong leadership, interpersonal, and communication skills, including effective communication at all levels within the Company.

Ways to stand out from the crowd:

• Expert analytical and complex financial modeling skills, critical thinking and problem-solving skills.

• Experience collaborating across a large organization to influence change.

• Excellent communication and interpersonal skills, with proven ability to build successful relationships and partner with all levels of a company’s organization.

• Creative and innovative leader with a positive approach and a focus on business solutions.

• Experience with SAP, SFDC, Tableau and BI Tools applications.

What you'll be doing:

• Research, design and implement novel methods for efficient deep learning.

• Publish original research.

• Collaborate with other team members and teams.

• Mentor interns.

• Speak at conferences and events.

• Work with product groups to transfer technology.

• Collaborate with external researchers.

What we need to see:

• Completing or recently completed a Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or have equivalent research experience.

• Excellent knowledge of theory and practice of computer vision methods, as well as deep learning.

• Background in pruning, quantization, NAS, efficient backbones, and so on, is a plus.

• Experience with large language models and large vision-language models is required.

• Excellent programming skills in Python and PyTorch; C++ and parallel programming (e.g., CUDA) is a plus.

• Hands-on experience with large-scale model training including data preparation and model parallelization (tensor and pipeline) is required.

• Outstanding research track record.

• Excellent communications skills.

alignment, principledapproaches to synthetic data generation and filtering, advanced reasoning and inference algorithms for LLMs, novel learning paradigms and LLM architectures, and scientific understanding about the fundamental limitsand capabilitiesof LLMs. You will work within an amazing and collaborative research team that consistently publishes at the top venues in machine learning andnatural language

What you'll be doing:

• Explorealternative avenuesto unlock new capabilities in language models, including advanced knowledge acquisition techniques and innovative learning and decoding algorithms.

• Innovate newlearning paradigmsthat incorporate agency into the training of language models, such as enabling self-reflection and targeted knowledge enhancement.

• Enable learningfrom multi-modalitiesbeyond written text, such as acquiring physical commonsense knowledge through interactions with real-world environments.

• Publish original research.

• Collaborate with other team members and teams.

• Mentor interns.

• Speak at conferences and events.

• Work with product groups to transfer technology.

• Collaborate with external researchers.

What we need to see:

• PhD in Computer Science or Computer Engineering (or equivalent experience).

• At least 6 years of research experience (demonstrated by publication records spanning across 5+ years) in artificial intelligence, machine learning, natural language processing, computer vision or related subjects

• A history ofresearch successexemplified by a strong publication record and awards.

• Excellent knowledge of theory and practice of deep learning and natural language processing.

• Background in LLM training, alignment, and evaluation is expected.

• Excellent programming skills in Python and PyTorch.

• Hands-on experience with large-scale model training including data preparation and model parallelization (tensor and pipeline) is required.

• Excellent communications skills.

What you’ll be doing:

• Lead positioning, messaging and launches for key data science and processing products

• Develop technical content such as blogs, videos, and presentations to help data scientists embrace NVIDIA’s SDKs

• Support go-to-market for NVIDIA hardware platforms for data processing as part of cross-functional team

• Conduct competitive and ecosystem analysis to develop positioning and focus promotion

• Engage with the data science community directly and present key technologies at events

• Derive insights from customer adoption trends and share with internal teams

What we need to see:

• 8+ years’ experience with launching, go-to-market and scaling technical product adoption for data scientists or developers.

• Bachelors degree in a scientific or technical field (or equivalent experience).

• Knowledge of data science packages and machine learning frameworks.

• You love and thrive in a cross-functional organization, by collaborating with peers across teams and functions.

• Excellent written and spoken communication skills.

• Experience presenting at meetings, conferences, and webinars.

• Strong grasp of content marketing and social media methodologies.

• Comfortable reviewing Python code used in presentations, demos, and articles.

Ways to stand out from the crowd:

• Clearly communicate your understanding of NVIDIA’s strategy and technology.

• Measurable impact (metrics, awards, key accomplishments) you can share.

• Growing portfolio of blogs and social posts with links to your relevant work, including technical writing, social media presence, videos, and research papers.

What you'll be doing:

• Own and complete the building and development of reporting solutions across SFDC, Wrike, Power BI, and related platforms based on field and management needs.

• Lead needs assessments and requirements analyses to identify efficient tools and processes for business reporting.

• Build, analyze, and present data-driven insights and forecasts, offering actionable recommendations to collaborators.

• Develop and maintain NVIS dashboards that deliver clarity and performance visibility across key operational metrics.

• Collaborate with cross-functional teams—engineering, operations, planning, OEM partners, and logistics—to document and optimize lifecycle processes.

• Serve as the primary contact for Data Analytics process blocking issues for lifecycle accountability, ensuring efficient and transparent issue resolution.

• Monitor operational performance, document workflows, and drive continuous improvement initiatives across data and logistics functions.

What we need to see:

• Bachelor’s degree or equivalent experience.

• 5+ years of experience overall, with at least 4 years in data reporting, process mapping, supply chain, logistics, or related program management.

• Verified background in building dashboards and analytics through SFDC, Wrike, Power BI, or related tools.

• Strong understanding of information systems integration, reporting methodologies, and data visualization guidelines.

• Excellent analytical, problem-solving, and communication skills for cross-functional collaboration.

• Demonstrated ability to detail and refine processes, manage reporting tasks, and synthesize insights for executive audiences.

What you’ll be doing:

• Develop innovative parallel computing technologies that equip programmers with the compilers, languages, runtime systems, tools, and algorithms needed to solve challenges with modern accelerated systems.

• Collaborate with other researchers and engineers to extend the state of the art in parallel computing, machine learning, data analytics, and other technology areas surrounding NVIDIA's business. Deliver your innovations in high-quality software systems, publications, and patents.

• Engage with the research community through collaborations, publications, and presentations that produce new technologies and promote education in accelerated computing.

What we need to see:

• Completing or recently completed a Doctoral degree (Ph.D.) or equivalent experience in a computational field such as computer science, computer engineering, or scientific computing.

• Creativity in developing innovative solutions to the problems faced by parallel programmers and the skill to implement them in software.

• Expertise in parallel programming and algorithmic techniques.

• Strong programming ability in one or more of the following languages: C, C++, Rust and Python.

• Track record of research excellence and publications that demonstrate your body of work.

• Relevant research and software development experience.

Ways to stand out from the crowd:

• Expertise in applying programming system insights and techniques to problems in machine learning, data science, and distributed computing.

• Ability to implement ideas in the CUDA programming model.

• Experience with applying AI, such as large language models, to create new ways of solving the problems of software engineering.

• Prior success in building software systems used by other developers to solve their own problems.