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Data Scientist, Google Cloud Support

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Google

25d ago

  • Job
    Full-time
    Mid Level
  • Data
    IT & Cybersecurity
  • Waterloo

AI generated summary

  • You need a bachelor's in a tech field, 3 years of experience in ML, stats, SQL, and data analysis. A master's and experience in product analytics are preferred, along with strong communication skills.
  • You will build data pipelines, create forecasts for support case volumes, lead business reviews with executives, identify complex challenges, and help guide team direction and infrastructure work.

Requirements

  • 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.

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.

FAQs

What is the minimum qualification required for this position?

The minimum qualification is a Bachelor's degree in Computer Science, Information Systems, a related technical field, or equivalent practical experience, along with 3 years of experience in relevant areas such as machine learning and statistical modeling.

Is experience with SQL necessary for this role?

Yes, 3 years of experience analyzing data and working with SQL and databases is required.

What kind of projects will I work on in this position?

In this role, you will work on a variety of stakeholder projects that involve addressing complex challenges and developing innovative data products and analytics solutions.

Is a Master's degree preferred for this position?

Yes, a Master's degree with a quantitative focus is preferred, along with relevant experience in fields such as product analytics, customer support, or data science.

Will I be required to lead meetings with stakeholders?

Yes, you will lead monthly business reviews with executive stakeholders and share insights on various organizational changes.

Is knowledge of machine learning essential for this position?

Yes, developing and deploying machine learning and time series forecasting models is a key part of the job responsibilities.

Does this role require collaboration with other teams?

Yes, you will collaborate with various internal stakeholders across different functions and geographies to manage change and drive continuous improvement initiatives.

Are excellent communication skills important for this role?

Yes, excellent communication skills and executive presence are important to influence colleagues and manage business priorities effectively.

What type of analytics solutions will I be involved in?

You will build analytics solutions that enable actionable insights to enhance the customer experience and inform decision-making processes.

Is Google committed to equal employment opportunity?

Yes, Google is committed to being an equal opportunity workplace and is an affirmative action employer.

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Google

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.