We are looking for a Data Science Project Manager.
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, we are increasingly known as “the AI computing company” and we are looking to grow our company, and strengthen the team with the smartest people in the world.
What you'll be doing:
As part of our elite team, you will be helping to define the project scopes, manage and ship the projects and products on time, and provide post-shipment follow up, maintenance, and improvements as needed. Our projects focus on applying deep learning and machine learning to large-scale business and technical data, and may often enough involve building data infrastructure as a part of project as needed.
What we need to see:
You have experience with data science, including machine learning, Deep Learning, statistics, linear algebra, time series, and calculus, as well as with Big Data such as Hadoop, Spark, MongoDb, etc.
You have project management and/or product management experience as well as excellent communication, multitasking, prioritization, listening, and teamwork skills.
You are able to get things done (in terms of projects completed and/or products shipped) in matrix organization
You have a track record of shipping machine learning and AI models into production
Ability to work with project partners in a friendly and constructive manner
Deep understanding of SQL, and understanding of data quality issues on a large scale
You are obtaining, or have recently obtained, an engineering/science degree plus MBA or similar
Ways to stand out from the crowd:
Do you like working in a dynamic working environment that involves creative problem solving and thinking on your feet? If so, we're looking for a highly-motivated individual to manage our data analytics products and projects.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.