Customer Engagement, Staff Data Scientist, Go-To-Market, Metrics (Mountain View)

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• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  
• 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years work experience with a Master's degree).

Preferred qualifications:

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  
• 12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
• 5 years of experience developing and managing metrics or evaluating programs/products.
• Experience in running experimentation-based decision-making processes, both quantitatively (inference, stats, etc.) and organizationally (discipline, alignment, stakeholder management).
• Experience in solving unstructured business problems with data science, translating results into impactful business recommendations, and measuring the success of those initiatives.

About the job

In this role, you will help serve Google's worldwide user base of more than a billion people. You will provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving team member, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You will make critical recommendations for your fellow Googlers in Engineering, Product Management, and User Experience. You relish analyzing the numbers one minute and communicating your findings to key stakeholders the next to influence product direction and quantify impact.

As a Data Scientist in the Customer Engagement Data Science team, you will help drive the goal of how Google Ads builds customer success through go-to-market (GTM) metrics and measurement of Ads products. The US base salary range for this full-time position is $183,000-$271,000 + 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.

About the job

In this role, you will help serve Google's worldwide user base of more than a billion people. You will provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving team member, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You will make critical recommendations for your fellow Googlers in Engineering, Product Management, and User Experience. You relish analyzing the numbers one minute and communicating your findings to key stakeholders the next to influence product direction and quantify impact.

Responsibilities

• Align executive cross-functional Ads stakeholders (Sales, Support, Finance, Product) on a cross-organization process and discipline for the quantitative attribution of impact on key product initiatives.
• Provide investigative thought leadership to executive leadership through proactive and strategic contributions, consistently use insights andanalytics to drive decisions and alignment throughout the organization.
  
• Consult with cross-functional stakeholders to improve experimentation velocity and analysis turnaround time through adoption of self-service tools and improved processes.
  
• Define and report Key Performance Indicators (KPIs) and launch impact as part of regular business reviews with the cross-functional and cross-organizational leadership team. Translate analysis results in business insights or product improvement opportunities.Work with PM, UX, and Engineering to contribute to metric-backed annual and quarterly OKR settings.
  

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 .

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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