We are looking for data analyst to join the Product and Analyst team and help us shape our data analysis solutions, quality control, visual dashboard, and anomaly detection across the manufacturing process. If you're experienced with various data analytics technologies, are a fast learner, and have a get things done mentality, we'd love to hear from you!
What you’ll be doing:
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Develop anomaly detection and quality control practices for manufacturing process’s raw data.
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Work closely with data engineers and data scientists to incorporate their expertise into projects that address business requirements.
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Present insights and conclusions to key collaborators to build solutions for business questions and inform business strategy.
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Interpret data which will involve finding patterns or trends in data that will help answer business questions.
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Partner with business customers to design and implement dashboard solutions to their business needs.
What we need to see:
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BSc/Msc student in Statistics, Engineering, Information Systems, or relevant field
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Experience in processing and building visualizations using reporting tools such as Power BI, Tableau, JMP, Jupyter or other known tools.
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Working experience with SQL, NoSQL, or other SQL-like scripting language.
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Basic understanding of statistics and machine learning.
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Excellent written and oral communication skills, particularly the ability to synthesize complex issues or scenarios into easy to-understand concept.
Ways to stand out from the crowd:
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Experience with Power BI
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Experience with python modules such as: Pandas, NumPy, SciPy, Matplotlib.
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Familiarity with VCS tools (Git or SVN).
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Background with Jupyter notebooks.
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Experience with MongoDB.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
