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Google Looking for Senior Data Scientist, Google Cloud Support at San Francisco, CA, USA Full Time
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; New York, NY, USA; Waterloo, ON, Canada.
Minimum qualifications:
- Bachelor’s degree in Computer Science, Information Systems, 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, and working with SQL and databases.
Preferred qualifications:
- Master’s degree or PhD in Computer Science, Data Science, Mathematics, Economics, Physics, Engineering, Management Information Systems, Statistics, Accounting, or a similar 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 improvement initiatives.
- Excellent communication skills, with the ability to influence team members and manage business priorities.
About the job
The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate.
As part of the Cloud Support Data Science team, you’ll play a key role in using data and machine intelligence to empower data-driven execution of strategy and operations for Google customers. The team works collaboratively with Sales, and other Cloud Support teams to build analytics solutions that enable actionable insights to provide an effortless customer experience. In this role, you’ll 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.
The US base salary range for this full-time position is $150,000-$223,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
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 senior stakeholders, sharing insights on drivers of change across a dynamic organization.
- Engage with the organization to identify, prioritize, frame, and structure ambiguous challenges.
- Define the analytical direction for the team, and influence the direction of the associated infrastructure work.
