Job Type
Full Time
Job Details
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA. Minimum qualifications:
Preferred 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.
Preferred qualifications:
- Ability to share insights via documents and decks.
- Excellent written and communications skills.
About the job
In this role, you will get around obstacles to achieve the goal. You will be level-headed and can cut across organizations and processes to drive alignment and simplicity. You will have strong problem-solving skills that will drive clarity and enable smart decision-making for Global Business Organizations (GBO).
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
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form. - Lead data science projects with internal Global Business Organization (GBO) stakeholders to drive decisions using data analysis and modeling with both descriptive and predictive analytics.
- Collaborate with customers to resolve their problems and identify the best statistical techniques that can solve the problem, own the development of modeling framework.
- Lead gathering, extraction and compilation of data across sources via relevant tools (e.g., SQL, R, Python). Lead formatting, re-structuring, and validation of data to ensure quality and utility.
- Develop understanding of Google data structures, and metrics, advocating for product/Engineering changes where needed.
You Might Also Like
Mission
We're connecting diverse talent to big career moves. Meeting people who boost your career is hard - yet networking is key to growth and economic empowerment. We’re here to support you - within your current workplace or somewhere new. Upskill, join daily virtual events, apply to roles (it’s free!).
Are you hiring? Join our platform for diversifiying your team