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Karkidi

Senior Data Scientist - DGX Cloud

Karkidi, Santa Clara, California, us, 95053


We are now looking for a Senior Data Scientist for the DGX Cloud team. As a Data Scientist, you will turn data into information, information into insight, and insight into business decisions to help optimize the engineering process and align strategic direction. You will work closely with our leadership team, internal partners, and engineering, providing them insight and data that enables effective changes across the organization. Our projects include user behavior profiling, user base segmentation, and campaign targeting. Our technology stack relies on industry-standard open-source components (Hadoop/Hive, Spark, ELK, Tableau, Cassandra, Avro, Kafka, Aerospike, Redis, PostgreSQL, etc.) and proprietary tools implemented in Python. Are you a versatile, visionary, and ambitious engineer who can help us grow our solutions for data analysis? What you will be doing: Analyze and develop models to address quantitative data and qualitative survey data. Apply ML/AI techniques (classification/clustering/sentiment) to solve reliability and QoS issues for our products. Develop frameworks for data ingestion and processing. Extend intelligent approaches to detect and root cause outliers in the data models and identify inconsistencies in data. You will create scalable algorithms for data processing and machine learning to diagnose the root causes of errors. Act as a link, working within and coordinating between multiple distributed teams for end-to-end feature delivery. Prepare documentation for processes, policies, data formats, test cases, and encourage results within the scope of your projects. What we need to see: Bachelor's Degree in Computer Science, Statistics, or a related field (or equivalent experience). 12+ years of professional experience in software development and building successful production software systems. Proven ability to solve problems using machine learning algorithms and techniques (clustering, classification, outlier analysis, anomaly detection, etc.) and deep learning models (Neural Networks). 4+ years of industrial experience with common tools for data storage and processing (e.g., Spark, Hadoop Map/Reduce, Hive, Cassandra). You will need to drill into the problems of running large-scale software in a big network. System design/architecture skills to build reliable data flows, combining analytical batch processing and low-latency services. Passion for efficient algorithms and data structures, understanding their advantages and limitations in distributed environments. Excellent interpersonal, presentation, and reporting skills. Self-motivated, engaged, eager for self-education with strong self-management skills. Strong oral and written communication skills in English. Ways to stand out from the crowd: Demonstrated skills as a senior engineer (mentoring, leading product designs, managing projects, architecting products). A love for PC/mobile gaming will help you in working with our data sets. Experience working within a large international team. Software security experience would be a plus. A love of technology, especially data analytics, and a passion for what you do. Strong collaborative and interpersonal skills, with a proven track record to effectively guide and influence within a dynamic matrix environment. NVIDIA is leading groundbreaking developments in Artificial Intelligence, High Performance Computing, and Visualization. The GPU—our invention—serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables groundbreaking creativity and discovery, and powers inventions that were once considered science fiction, including artificial intelligence for autonomous cars. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you.

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