
Senior Data Analysis Engineer
At NVIDIA, we are looking for an experienced Senior Data Analysis Engineer to join our team and help us take analytics and data-driven insights to the next level. As a Senior Data Analysis Engineer, you will be an integral part of our organization and will be expected to work collaboratively with data scientists, engineers, and other stakeholders to develop analytical models and build data-driven solutions that further our mission.The ideal candidate is a highly organized and motivated individual with a keen eye for detail and a passion for data. To be successful as a Senior Data Analysis Engineer at NVIDIA, you should have a strong background in data engineering and analytics, including working with large datasets, developing complex algorithms, and building data-driven models. You should also be comfortable working in both a team and an individual setting and possess excellent communication and problem-solving skills.In addition to the above, the successful candidate must possess the following qualifications:• BS/MS in Computer Science, Engineering, Mathematics, Statistics, or a related field• 5+ years of experience in data engineering and analytics• Experience in working with large datasets• Expertise in developing complex algorithms and models• Advanced knowledge of Python, SQL, data visualization tools, and big data technologies• Excellent communication and problem-solving skills• Proven ability to work in both a team and individual settingIf you have the necessary qualifications and are passionate about data, this is an incredible opportunity to join NVIDIA and become part of a world-class team.
Responsibilities:
- Develop analytical models and build data-driven solutions that further NVIDIA's mission.
- Work collaboratively with data scientists, engineers, and other stakeholders.
- Utilize large datasets to develop complex algorithms and models.
- Utilize Python, SQL, data visualization tools, and big data technologies.
- Communicate effectively and possess excellent problem-solving skills.
- Work in both a team and individual setting.
- Maintain up-to-date knowledge of data engineering and analytics.
Bachelor's Degree In Computer Science
Or Related Field
R
Mathematics
Proficiency In Python
Data Analysis
Statistics
+ Years Of Professional Experience In Data Engineering
Or Data Science
Expert Knowledge Of Sql And Data Warehouse Tools
Or Other Scripting Language
Knowledge Of Statistical Analysis And Machine Learning Concepts
Strong Understanding Of Distributed Computing (Eg. Hadoop
Spark)
Experience With Cloud-Based Data Storage And Processing Technologies (Eg. Aws
Gcp
Business Intelligence
Data Analysis
statistical analysis
Big Data
Machine Learning
Deep Learning
Data warehousing
Data Visualization
Cloud Computing
Algorithm design
Data Mining
Data engineering
Modeling
Database design
Code optimization
Communication
Conflict Resolution
Leadership
Time management
Interpersonal Skills
Organizational skills
Creative Thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Senior Data Analysis Engineer in Santa Clara, CA, USA is $142,000 to $179,000 per year. This salary range includes base salary, bonus, and other forms of compensation. The salary range is dependent on experience, location, and other factors.
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NVIDIA Corp. designs and manufactures computer graphics processors, chipsets, and related multimedia software. The company operates through two segments: Graphics Processing Unit and Tegra Processor. The Graphics Processing Unit segment includes sales of the company's GeForce discrete and chipset products that supports desktop and notebook PCs plus license fees from Intel and sales of memory products. The Tegra Processors segment provides processors that deliver superior visual and multimedia experience on tablets, smart phones and gaming devices while consuming minimal power.

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