
Senior Data Scientist, Ops Data Platform
NVIDIA is seeking a Senior Data Scientist, Ops Data Platform who is passionate about data and eager to have a high impact on a dynamic, high-growth business. The ideal candidate will bring a combination of deep technical and analytics skills, and a desire to lead data-driven decision making. You will play a critical role in driving the evolution of our data platform, and in leveraging data to optimize the operational performance of our business.To be successful in this role, you must have a deep understanding of data engineering principles and practices, and a passion for understanding how data can be leveraged to drive continuous improvement. You must also have strong experience in data modeling, data analysis, data integration, and data visualization. Exceptional communication and collaboration skills, along with the ability to effectively engage and influence stakeholders, is also essential. We are looking for a true data evangelist - someone with an enthusiasm for data and the knowledge and experience to turn data into actionable insights. If you have a customer-centric approach and a passion for turning data into business value, we want to hear from you!
Responsibilities:
- Develop and design data models and solutions to support business operations.
- Utilize data engineering principles to design, build, and maintain data pipelines.
- Analyze data to draw meaningful insights and present them to internal stakeholders.
- Create data visualizations to help stakeholders gain a better understanding of data.
- Develop data strategies to optimize operational performance.
- Develop and implement data governance procedures.
- Collaborate with other teams to ensure that data is accurate and consistent.
- Identify new data sources and evaluate their potential value
- Provide guidance to other team members on data engineering best practices.
- Develop and execute plans to ensure the accuracy and integrity of data.
Sql
Spark
Strong Analytical And Problem Solving Skills
Expertise In Data Mining
Proficiency In Programming Languages Such As Python
R
And Java
Proficient In Statistical Analysis And Data Modeling Tools
Ability To Develop And Maintain Etl Processes
Expertise In Big Data Technologies Such As Hadoop
And Cassandra
Knowledge Of Data Visualization Tools
Experience With Cloud-Based Data Platforms Such As Aws And Azure
statistical analysis
Database Management
Big Data
Machine Learning
Data warehousing
Data Visualization
Automation
Coding
Cloud Computing
Data Mining
Algorithm development
Analytics
Modeling
Predictive modeling
Data architecture
Communication
Leadership
Negotiation
Time management
Interpersonal Skills
creativity
Organization
collaboration
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Senior Data Scientist, Ops Data Platform is $145,500 to $175,000. Factors such as location, experience, and the size of the company can affect the salary range for this position.
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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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