About the job

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support and market understanding 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.

As a part of the Android and Business Communication (ABC) Data Science (DS) team, you will contribute to powering ABC products decisions with Data Science and solve business problems using quantitative methods to influence organizational strategy.

As a part of the ABC DS team's investigative leadership across three key product pillars: Consumer Messaging (Google Messages and Rich Communication Services (RCS), Messages business generation and Protection, and Calling including Telephony, you will help empower product teams to deliver high-quality, safe, and seamless communication experiences for billions of Android users.

In this role, you will help serve Google Messages worldwide with the base of over 2 billion people. You will provide quantitative support, market understanding and a perspective to our partners throughout the organization. You will take the initiative as a data scientist, and apply your investigative and statistical toolkit to drive organizational and strategic decisions.

Android is Google’s mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world.

The US base salary range for this full-time position is $132,000-$189,000 + 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

• Partner with stakeholders across multiple functions and locations to design and implement methodologies, dashboards and presentations.

• Provide quantitative support and market understanding to our partners throughout the organization.

• Serve as an analytics expert for partners, using numbers to help them make better decisions.

• Weave stories with meaningful insight from data, making critical recommendations for your fellow Googlers in engineering and product management.

• Use your investigative and statistical toolkit to tally up the numbers and communicate your findings to a team leader.

Minimum qualifications

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

• 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 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.

• 5 years of work experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL).

• Experience in an inter-disciplinary/cross-functional field with an interest and aptitude in data, metrics, analysis and trends and applied knowledge of measurement, statistics and program evaluation.

• Experience working autonomously, acting as a product owner to deliver results for global teams.

• Ability to translate analysis results into business recommendations with excellent communication skills.