Job Responsibilities

Design, implement, and maintain a framework for data analytics Build and operate a web front end dashboard Mine data and create business analytics reports

Job Requirements

You have a Bachelor’s Degree in Computer Science, Math, Physics or related math and data intensive Engineering Degree with 5+ years of relevant experience or a Masters Degree and 3+ year of relevant work experience in Data Science / Automation / Analytics / Search. Advanced degrees are helpful. Strong background in crafting data search queries for large and diverse databases and data sets. Strong experience in Python scripting languages geared towards data analytics. Strong experience in building front end web technologies such as JavaScript, AngularJS, ReactJS and RESTful APIs Experience with creating business analytics reporting using tools like ELK and Tableau. Experience with deployment tools as Docker. Experience with Git Ways to stand out from the crowd: Your experience with data automation and deployment systems. Experience with other aspects of cloud computing such as deployment, security, monitoring Experience with AWS, Aliyun, Hadoop, Hive, Spark, Pig, Ozzie, Storm, Active MQ/Rabbit MQ, REDIS Experience with object oriented programming such as Java Your experience working with diverse databases including building scripting and reporting frameworks is a huge plus. With highly competitive salaries and a comprehensive benefits package, Nvidia is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and talented people in the world working with us and our engineering teams are growing fast in some of the hottest state of the art fields: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative and autonomous engineer with a real passion for machine learning, distributed systems, data science & parallel computing, we want to hear from you.

Required Languages

English