Product Data Scientist

About the role

MINIMUM QUALIFICATIONS:

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering,

Physics, Economics, or a related quantitative field, or equivalent practical

experience.

• 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 (extracting insights,

performing statistical analysis, or solving business problems), and coding

(Python, R, SQL).

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 Advertiser Platform (AP) team drives better business outcomes for ads

customers through automation and critically important platforms, encouraging

long-term investments with Google. The AP Product Analytics (APPA) team enables

the AP team to make data-driven decisions by building tooling, maintaining

datasets, and by measuring and delivering insights for improving key metrics for

our scaled and automated Google Ads products.

In this role, you will empower the Advertiser Platform team to make critical,

data-driven decisions by providing the tools, datasets, and actionable insights

they need to scale and improve Google Ads products. You will play a pivotal role

in supporting the Performance Max team and broader campaign automation efforts.

Your work will center on understanding and optimizing how advertisers express

their business objectives through conversion goals, advertising channel value

modifiers, customer lifecycle optimization, and other emerging controls.

Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

• Perform comprehensive investigations into fundamental business and product

strategy questions using unstructured data (e.g. logs) and advertiser

behavior analysis.

• Participate in end-to-end design, execution, and evaluation of complex

experiments to definitively measure how product changes impact advertiser

performance.

• Create and steward robust reporting frameworks and key performance indicators

that capture the incremental impact delivered to Google’s business and its

advertisers.

• Act as a critical strategic partner to the Advertiser Platform team,

translating complex analytical findings into clear business strategies that

anticipate future market trends.