Head of Search Strategic Insights and Analysis

Key Skills

Data science techniques, Python Programming, R Programming, SQL

Job Description

Minimum qualifications:

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

Preferred qualifications:

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 15 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
• 6 years of experience as a people manager within a technical leadership role.

About the job

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, 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'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

The Applied Research and Strategy (AREAS) team is dedicated to uncovering new areas of opportunity and growth for Knowledge and Information (K and I), leveraging data and analysis to surface actionable insights and fuel intelligent decision-making. We drive insights for K and I leaders across external landscape, growth and our biggest long term bets. We develop cross-K and I data science strategies and approaches, create cross-product metrics and ensure data quality and push the envelop on new methodologies and tools to enable new and deeper insights.

You will lead a team of experienced data scientists to develop powerful new insights, land those insights with Search Leads and effectively influence the future direction of Search. Your team will develop new insights into Google's place in the external landscape, changes in user behavior and other questions that shape the Search product strategy. You will partner with cross-functional partners in PM, Engineering, User Experience Researcher (UXR), Finance and others to connect those insights to concrete product strategies and ultimately to reach decisions from Search Leads.

Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.

The US base salary range for this full-time position is $227,000-$320,000 + 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

• Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Direct projects that combine analytical and organizational complexity towards clear, sound, and actionable decisions.
• Own projects covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of analytical/statistical models, and presentation to stakeholders.
• Address ambiguous or new problems by using the capabilities of existing systems and collaborate to turn broad problems into work for the team.
• Oversee the integration of cross-functional and cross-organizational project/process timelines, drive improvements and recommendations, and define operational goals and objectives.
• Provide direction and accomplish results through leading/impacting the contributions of others.