NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. Millions of developers, data scientists, researchers, and IT professionals use our programs, SDKs, training, and online communities to help them do their life's work. We are seeking a highly motivated Data Scientist to support our Developer Programs organization. In this role, you will play a key role in experimentation, analytics, and sophisticated modeling to produce insights that with drive our programs’ strategy. We need someone with a natural curiosity for data and strong problem-solving skills who can anticipate informative questions and dig into the answers. Do you thrive in a dynamic and constantly evolving environment? Do you love collaborating with multi-functional teams and applying your analytical skills to drive data-driven decision-making? If so, we can’t wait to talk to you!What you’ll be doing:Designing and developing predictive and generative models that integrate with various data products to uncover trends and strategic opportunities.Identifying and interpreting trends in complex data sets. Applying data mining, NLP, and machine learning to real-world problems and datasets.Defining and building data products inclusive of key requirements such as data quality and integrations.Leading the process of gathering, extracting, and cleaning data from multiple sources using relevant tools.Independently format, re-structure, and/or validate data to ensure quality, and review each dataset to ensure it is ready for analysis.Engaging with program leaders to deeply understand our key strategies with context to proactively form hypotheses and explore data for insights that translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.What we need to see:8+ years of proven experience as a data scientist using Python packages such as Pandas, cuDF, NumPy, CuPy, Matplotlib, Plotly, Seaborn, Beautiful Soup, Scrapy, Scikit-learn, cuML.Master's or advanced degree in Data Science, Computer Science, Machine Learning, Business Analytics, Finance, Statistics, a related field, or equivalent experience.Practical experience in building AI/ML models, statistics, predictive modeling, time series forecasting, regression, classification, clustering, outlier analysis, hypothesis testing, etc.Proven hands-on experience in data cleaning, aggregation, transformation, and extraction.Demonstrated strong analytical abilities, supported by a track record of delivering practical and impactful solutions in a fast-paced environment.Superb communication and interpersonal skills, enabling effective interaction with senior management, collaboration with global teams, and ability to influence decisions.Solid understanding of building data visualizations and dashboards.Ability to work independently, prioritize tasks, and lead multiple projects with minimum supervision.Ways to stand out from the crowd:Experience in a fast-paced, global, matrix organization.Familiar with Tableau and Salesforce CRM.Experience with NVIDIA’s accelerated data science technologies such as cuDF, cuGraph, cuML, and Spark-RAPIDS.With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers; we have some of the most forward-thinking and hardworking people in the world working for us and, due to unparalleled growth, our best-in-class teams are rapidly growing.The base salary range is 168,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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