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Staff Business Data Scientist, Forecasting

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Chicago, IL, USA.

Minimum qualifications:

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

Preferred qualifications:

9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.

About the job

Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.

In this role, you will own and execute critical global finance processes—including business forecasting, planning, sales incentives, capital allocation, and seller incrementality—delivering scalable solutions that ensure the broader team works efficiently. You will also shape the narrative for the Global Business Organization in key leadership moments. Furthermore, you will leverage Artificial Intelligence-powered solutions to advocate standardization and automation, creating capacity for analysts to focus on high-impact partnering and proactively defining the future of the Finance organization for the Ads business.

The US base salary range for this full-time position is $192,000-$278,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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

Develop metrics to track and evaluate solution deployment across teams.
Create dashboards and tools to automate processes, generate reports, and guide product decisions.
Curate and validate data to ensure quality standards are met.
Collaborate with stakeholders to understand the domain, business goals, and data infrastructure context.

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.

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