FAQs
What are the minimum qualifications for this position?
The minimum qualifications include a Master's degree in a related quantitative field, 3 years of experience with statistical data analysis, data mining, and querying (e.g., SQL), and 3 years of experience managing analytical projects.
What are the preferred qualifications for a Data Scientist in Google Enterprise?
Preferred qualifications include a Master's degree in machine learning or a related field, experience applying ML and advanced analytics solutions to enterprise operations teams, and experience with the full ML product lifecycle.
What will be my main responsibilities in this role?
Your main responsibilities will include providing analytical thought leadership, working in a team on various analytical projects, defining and reporting Key Performance Indicators (KPIs), designing machine learning models, and reviewing analyses conducted by others.
What kind of projects will I be working on as a Data Scientist?
You will work on projects that transform Google Enterprise business operations, supply chain, IT support, and internal tooling using AI and Advanced Analytics, as well as enable operations and product teams.
Is there a focus on machine learning in this role?
Yes, there is a significant focus on machine learning, including designing and developing machine learning models to solve business problems and working alongside ML Engineering teams to deploy generative AI models.
Does Google provide equal employment opportunities?
Yes, Google is committed to being an equal opportunity workplace and a diverse employer, ensuring equal employment regardless of various factors such as race, gender, and disability.
What type of support does Google offer for applicants with disabilities?
Google provides support for applicants with disabilities or special needs through accommodations, which can be requested using their Accommodations for Applicants form.
Can I expect to work in a team environment in this position?
Yes, collaboration in a team covering various aspects of analytical projects is a key part of this role.