Senior Data Scientist, Developer Programs

NVIDIA has been revolutionizing computer graphics, PC gaming, and accelerated computing for over 25 years. Today, we're harnessing the boundless potential of AI to shape the next computing era. Numerous developers, data scientists, researchers, and IT professionals use our programs, SDKs, training, and online communities to enrich their life's work. We are looking for a highly driven Data Scientist to boost our Developer Programs organization. In this role, you will be pivotal in experimentation, analytics, and intricate modeling to generate insights that will steer the strategy of our programs. We require someone with a keen interest in data and robust problem-solving skills who can anticipate informative questions and delve into the answers. Do you flourish in a dynamic and continually evolving environment? Do you enjoy collaborating with multifunctional teams and applying your analytical skills to facilitate data-driven decision-making? If so, we're eager to speak with you! What you’ll be doing: - Designing and developing predictive and generative models that integrate with various data products to discover trends and strategic opportunities. - Identifying and interpreting trends in complex data sets. Applying data mining, NLP, and machine learning to real-world issues and datasets. - Defining and constructing data products considering key requirements such as data quality and integrations. - Leading the process of gathering, extracting, and cleaning data from multiple sources using relevant tools. - Independently formatting, restructuring, and/or validating data to ensure quality and reviewing each dataset to guarantee its readiness for analysis. - Engaging with program leaders to deeply understand our key strategies with context to proactively formulate hypotheses and explore data for insights that translate and refine business inquiries into manageable analysis, evaluation metrics, or mathematical models. What we need to see: - 8+ years of credible 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 constructing 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. - Evidenced robust analytical abilities, supported by a history of delivering practical and significant solutions in a high-speed environment. - Excellent communication and interpersonal prowess, enabling effective interaction with upper management, collaboration with global teams, and capacity to influence decisions. - Thorough understanding of constructing 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. - Familiarity with Tableau and Salesforce CRM. - Experience with NVIDIA’s accelerated data science technologies such as cuDF, cuGraph, cuML, and Spark-RAPIDS. Offering competitive salaries and a generous benefits package, NVIDIA is often deemed to be one of the most appealing employers in the technology world. Housing some of the most innovative and dedicated people globally, and due to unparalleled growth, our excellent teams are expanding rapidly. The base salary range is 168,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the earnings of employees in similar roles. You will also be eligible for equity and benefits.