We are looking for hybrid technical leader to join the Product Management and Analyst team and help us shape our data analysis solutions, quality control and anomaly detection across the manufacturing process. you will build the end-to-end engineering proofs-of-concept (POCs) that pave the way for our development teams. 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:

• Develop anomaly detection and quality control practices for AI models and manufacturing process’s raw data.
• Present insights and conclusions to key collaborators to build solutions for business questions and inform business strategy.
• Lead the development of end-to-end "Pathfinder" projects. You will take a raw idea, engineer the data pipeline (ETL), Define data schema, and build a functional application to demonstrate value.
• Translate complex analytical needs into functional software prototypes that the product engineering teams can scale.

What we need to see:

• BSc in Statistics, Electrical Engineering, Computer Science or relevant field
• 5+ years of experience and proficiency in analyzing large volumes of data, extracting insights 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.
• Working experience with SQL, NoSQL, or other SQL-like scripting language.
• Basic understanding of statistics and machine learning.
• Experience in the Semiconductor industry, electronic industry or Manufacturing data (Yield management, Metrology, Test operations).
• 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.
• Data Engineering understanding of ETL processes, data warehousing, and database design.
• Architecture Sense: Ability to critique system design (microservices, API design, database schemas) and spot bottlenecks before they are built.
• Full-Stack Capabilities Experience building web applications or dashboards
• 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 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.