What you'll be doing:

• Develop and implement advanced AI and ML models for demand forecasting in NVIDIA's global Enterprise business.
• Evaluate financial metrics, industry trends, competitive landscape, market share, and qualitative factors to foster data-driven decision-making.
• Design, develop, and establish predictive and generative models that integrate with Salesforce pipeline and financial data to provide strategic insights and recommendations.
• Present key findings and research outcomes to senior leaders. Analyze data to reveal insights into demand patterns, market trends, workloads, and vertical industries influencing purchasing behavior.
• Apply proven experience of Datacenter products and software stack to predict future business growth, assess forward-looking performance, and solve complex problems.
• Develop data processing frameworks, time series forecasting models, identify anomalies, and address potential forecast errors or biases to improve accuracy and adaptability.
• Collect and process extensive datasets for model training and prediction, ensuring data quality for analytics and forecasting.
• Conduct in-depth research on competitors, industries, and market trends, analyze financial data, news, and text mining for insights.
• Work closely with SFDC Solutions team, Analytics team, Finance, Business Operations, and Sales/Product line leaders to understand business requirements and seamlessly integrate statistical models into forecast planning systems, ensuring reliable and timely delivery of forecasts and analyses to senior management teams.

What we need to see:

• Master's or advanced degree in Data Science, Computer Science, Machine Learning, Business Analytics, Finance, Statistics, a related field, or equivalent experience.
• 10+ years of proven experience as a data analyst or data scientist with strong foundation and practical experience in building AI/ML models, statistics, predictive modeling, time series forecasting, regression, classification, clustering, outlier analysis, hypothesis validation, etc.
• Demonstrate proficiency in machine learning techniques and pre-trained models, with outstanding coding skills in SQL and Python. Proven hands-on experience in data cleaning, aggregation, transformation, and extraction. Familiar with SAP, Salesforce CRM, and Tableau is a plus.
• Demonstrate strong analytical and problem-solving abilities, supported by a track record of delivering practical and impactful solutions in a fast-paced environment.
• Possess excellent communication and interpersonal skills, enabling effective interaction with senior management, collaboration with cross-functional teams, and influencing decisions.

Ways to stand out from the crowd:

• Ability to work independently, prioritize tasks, and lead multiple projects with minimum supervision.
• Experience in the semiconductor Enterprise and Datacenter business, along with a deep understanding of accelerated computing and NVIDIA Technology, is highly desirable for this role.