job details

Back to jobs search

Jobs search results

2,711 jobs matched
Back to jobs search

Data Scientist, Google Cloud Support

GoogleWaterloo, ON, Canada

Minimum qualifications:

  • Bachelor's degree in Computer Science, Information Systems, a related technical field, or equivalent practical experience.
  • 3 years of experience developing/deploying machine learning and time series forecasting models using statistical software (e.g., Python, R).
  • 3 years of experience applying statistical modeling, hypothesis testing, and experimentation.
  • 3 years of experience analyzing data, working with SQL and databases.

Preferred qualifications:

  • Master's degree with a quantitative focus (e.g., Computer Science, Data Science, Mathematics, Economics, Physics, Engineering, Management Information Systems, Statistics, Accounting), or other relevant field.
  • Experience in product analytics, customer support, business intelligence, data science, or data warehousing.
  • Ability to collaborate with internal stakeholders across different functions and geographies to manage change and drive continuous improvement initiatives.
  • Excellent communication skills and executive presence to influence Google colleagues and manage business priorities.

About the job

As part of the Cloud Support Data Science team, you will play a key role in using data and machine intelligence to empower data-driven execution of strategy and operations for Google customers. We work collaboratively with Sales, Engineering and other Cloud Support teams to build analytics solutions that enable actionable insights to provide an effortless customer experience.

In this role, you will work on a variety of stakeholder projects with opportunities to address problems that require innovative solutions and data products.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

  • Build and maintain data pipelines and time series models to generate support case volume forecasts that enable long-term capacity planning and short-term scheduling decisions.
  • Lead monthly business reviews with executive stakeholders, sharing insights on drivers of change across a dynamic organization.
  • Engage broadly with the organization to identify, prioritize, frame, and structure complex and ambiguous challenges, where advanced analytics projects or tools can have the biggest impact.
  • Help define the direction for the team, and influence the direction of the associated engineering and infrastructure work.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Google apps
Main menu