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Urgent! Data Scientist, Autonomous Vehicle Infrastructure Analytics Job Opening In remote wa us – Now Hiring NVIDIA
One way to picture building autonomous vehicles is that autonomy is the product of a factory.
That factory consists of multiple production lines: collecting and labeling datasets, training neural networks, testing the vehicle itself, and so forth.
The AV Infrastructure Team within NVIDIA’s autonomous vehicles (AV) program are the factory builders.
We are looking for an experienced Data Scientist to join our AV Infra Analytics Team to help understand those production lines, optimize them, and ultimately improve the performance of the factory itself so that NVIDIA can ship outstanding autonomy on an ambitious timeline.
Our team supports multiple areas -- data ingestion, drive data quality, labeling and dataset generation, and many others.
Your focus will be to own one or more of these areas, working with the associated engineering and product teams, and create metrics that represent the user experience.
At the same time, we also make it easier for users to answer their own questions.
That requires understanding their needs deeply and how the data we have available can help.
You'll use those insights to develop ETL pipelines and shared services while working to fill instrumentation gaps to create a clearer picture.
To do that well, you'll need to be comfortable up and down the analytics stack -- connecting to data, cleaning it, writing your own ETL pipelines, and building dashboards in a variety of tools.
Our work is very hands-on!
Your work will undoubtedly be viewed regularly by senior leaders and be used to make decisions about how time and engineering resources get spent as we work hard to nurture a culture of data-driven decision making.
Knowledge and credibility are key to making that happen.
Demonstrated ability in data science, analytics, quantitative business/management consulting, or related academic research with the experience to be highly self-sufficient.
Deep technical proficiency with standard data analytics tools such as Python (Pandas, Jupyter Notebooks, etc.) and SQL plus the ability to write clean, maintainable code in a collaborative environment.
Bachelor’s degree, higher, or equivalent experience
8+ years of experience in a similar or related role
Outstanding communication skills for distilling sophisticated topics down to understandable, impactful conclusions.
Experience working with time series data from continuously running processes
Demonstrated attention to detail and ability to spot patterns in complex data
Familiarity with autonomous vehicles or large scale compute infrastructure
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.
If you’re creative and autonomous, we want to hear from you.
NVIDIA is leading the way in 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 outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.
NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.
You will also be eligible for equity and .
NVIDIA accepts applications on an ongoing basis.
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Unlock Your Data Scientist Potential: Insight & Career Growth Guide
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Great news! NVIDIA is currently hiring and seeking a Data Scientist, Autonomous Vehicle Infrastructure Analytics to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at NVIDIA adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Scientist, Autonomous Vehicle Infrastructure Analytics Jobs United States varies, but the pay scale is rated "Standard" in remote wa us. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Scientist, Autonomous Vehicle Infrastructure Analytics typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Data Scientist, Autonomous Vehicle Infrastructure Analytics interview at NVIDIA, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the NVIDIA's products or services and be prepared to discuss how you can contribute to their success.
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