We are looking for a Data Analyst to join the Product engineering team and help us shape our data analysis solutions, quality control, and anomaly detection across our manufacturing sites. 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:

• Work closely with the product engineer to identify the team requirements

• Develop anomaly detection and quality control practices for AI models and manufacturing process’s raw data

• Work closely with data engineers and data scientists to incorporate their expertise into projects that address business requirements

• Present insights and conclusions to key collaborators to build solutions for business questions and inform business strategy

• Interpret data which will involve finding patterns or trends in data that will help answer business questions

• Partner with business customers to design and implement solutions to their business needs

What we need to see:

• BSc in Information Systems, Statistics, Engineering, or relevant field

• 5+ years of experience and proficiency in analyzing large volumes of data, extracting insights, and processing large data sets using Python, Scala, or R

• Experience in processing and building visualizations using reporting tools such as Power BI, Tableau, JMP, and Excel

• Basic understanding of statistics and machine learning

• 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:

• Experience with Python modules such as: Pandas, NumPy, SciPy, Matplotlib

• Familiarity with VCS tools (Git or SVN)

• Experience with Jupyter notebooks

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 is 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.