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Data Scientist, Cloud Learning Services

GoogleCambridge, MA, USA; Atlanta, GA, USA; +3 more; +2 more
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Cambridge, MA, USA; Atlanta, GA, USA; Austin, TX, USA; Seattle, WA, USA.

Minimum qualifications:

  • Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience
  • 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
  • 4 years of experience in business visualization tools like Looker, Tableau, etc.

Preferred qualifications:

  • Master's degree in Computer Science, Economics, or Mathematics, or a related field.
  • 5 years of work experience in data science or quantitative analytics with focus on statistical modeling, Machine Learning, and AI.
  • Experience with both SQL and Python.
  • Experience with Machine Learning, AI or AI Pipeline.
  • Experience in Google Cloud Platform.

About the job

Cloud Learning Services (CLS) is revolutionizing direct cloud learning. We empower users of all levels with interactive labs and guided experiences to build practical skills on Google Cloud Platform and other leading technologies. Our mission is to make the cloud accessible, engaging, and enjoyable to learn.

As a Business Data Scientist, you will play a key role in uncovering valuable insights from diverse data sources to solve critical business tests. You will address a wide range of exciting projects, from establishing new measurement frameworks to identifying meaningful patterns in large datasets, ultimately empowering stakeholders to make data-driven decisions.

In this role, you will need to be a detail-oriented problem-solver with a strong foundation in data analytics, data visualization, and Artificial Intelligence/Machine Learning. You will solve the real-world problems and a commitment to continuous learning. Exceptional communication and stakeholder management skills are essential, as you will collaborate extensively with cross-functional teams. If you succeed in dynamic environments and are eager to make a real impact with data, we encourage you to apply!

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

  • Extract actionable insights from large, complex datasets and build data products like dashboards to operationalize them, driving measurable improvements in Key Performance Indicators (KPIs).
  • Present and communicate actionable insights and recommendations to executives, leaders, and cross-functional partners, including Product, Engineering, and Marketing teams.
  • Serve as a peer-reviewer and consultant to other members of the team, fostering a collaborative and knowledge-sharing environment.
  • Learn and share knowledge of the latest advancements in AI/ML and data science that are relevant to our 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.
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