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Data Scientist, Product, Google Enterprise

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Google

8d ago

  • Job
    Full-time
    Senior Level
  • Data
    Research & Development
  • Hyderabad, +1
    Remote

AI generated summary

  • You must have a Master's in a quantitative field, 3 years in statistical analysis/SQL, experience managing analytical projects, and expertise in the full ML product lifecycle.
  • You will drive analytics, develop KPIs, create machine learning models, collaborate with teams, review analyses, and present insights to stakeholders to inform strategic decisions.

Requirements

  • Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
  • 3 years of experience with statistical data analysis, data mining, and querying (e.g., SQL).
  • 3 years of experience managing analytical projects.
  • Master's degree in machine learning, statistics, a related field, or equivalent practical experience.
  • Experience applying ML and advanced analytics solutions to enterprise operations teams.
  • Experience with the full ML product lifecycle, from ideation to exploration, productionization, and long term support.

Responsibilities

  • Provide analytical thought leadership through proactive and strategic contributions, use insights and analytics to drive decisions and alignment throughout the organization.
  • Work in a team covering problem definition, metrics development, data extraction and manipulation, visualization, creation, implementation of analytical/statistical models, and presenting to stakeholders.
  • Define and report Key Performance Indicators (KPIs) and launch impact as part of regular business reviews with the cross-functional and cross-organizational leadership team.
  • Design and develop machine learning models to solve problems within the Enterprise Support space that solve business problems for Google, and work alongside ML Engineering teams to test and deploy generative AI models to internal customers.
  • Review analysis and business cases conducted by others to provide feedback.

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.

Technology
Industry
10,001+
Employees
1998
Founded Year

Mission & Purpose

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.