Product Data Scientist, Android and Business Communication

Google • San Jose, CA

1d

About The Position

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.

Requirements

• 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).

Nice To Haves

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level