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Senior Business and Marketing Data Scientist I

GoogleMountain View, CA, USA; New York, NY, USA; +2 more; +1 more
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:

  • 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).

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

  • 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.

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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