Business Data Scientist, Global Partnerships Studio

Google

Google

Sales & Business Development, Data Science

Mountain View, CA, USA

Posted on May 12, 2026

Business Data Scientist, Global Partnerships Studio

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GoogleMountain View, CA, USA; New York, NY, USA; +2 more; +1 more
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Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.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.
  • 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.

Preferred qualifications:

  • 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
  • Proficiency in using charts, graphs, and tables to effectively capture data, share insights with leadership, and proactively identify gaps in current workflows.
  • Proficiency in Python, writing solution code, manipulating datasets, and integrating with other production code.

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.

Global Partnerships Studio’s (GPS) mission is to empower Global Partnerships to enhance the health of our partnerships and to land better deals, more efficiently.

GPS is on a multi-year journey to make tools an essential part of every Global Partnerships Googler’s journey, by continuing to enhance our existing tools (with Artificial Intelligence (AI) where applicable) and launching new tools to meet the needs of our Partnerships teams.

In this role, you will drive a measurement mechanism to track the value of our workflow automation and AI products, and provide data-driven recommendations to our team and the broader Global Partnerships business. You will apply your working knowledge of investigative solutions to define tractable evaluation metrics, build insights-focused dashboards for leadership, and analyze user experience data. Your insights will play a critical role in shaping our product roadmap and the broader AI transformation journey for Global Partnerships.

The mission of Global Partnership Tools (GPT) is to empower Global Partnerships to enhance the health of our partnership more efficiently. To bring this mission to life, we build and maintain a portfolio of tools that automate pipeline and partner management workflows, and provide various reports. These reports: create a single source of truth for partners and pipeline activity to ensure visibility on state of the business, facilitate cross-functional collaboration to create execution efficiency, and deliver insights on potential business opportunities. GPT is continuing to enhance our existing tools and launching new ones to meet the needs of our partnerships teams with a focus on AI.
The US base salary range for this full-time position is $138,000-$198,000 + 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 and define evaluation metrics, such as Adoption and Usage, to measure our tools' implementation and impact.
  • Work closely with product and engineering teams to analyze logs and ensure we are accurately tracking customer and user experiences.
  • Create user-friendly dashboards and generate reports to effectively share insights and recommendations with leaders, internal teams, and executives to inform product decisions.
  • Extract and analyze data to draw conclusions, evaluate outcomes, and proactively identify impactful opportunities to improve existing data solutions based on your findings.
  • Interact with internal clients and partners to understand their business requirements and broader workflows, translating common business needs into tractable analyses and metrics.

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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.

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