Product Data Scientist, Consumer Shopping

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.

Google Shopping is a comprehensive product search engine, a fast-growing product

ads business, and an everyday essentials marketplace. We aim to revolutionize

shopping by building great end-to-end user experiences that bring users,

retailers, and manufacturers together. The Consumer Shopping Data Science team

works on Shopping products on various surfaces including Search, AI Mode, and

Gemini.

As a Data Scientist in Consumer Shopping organization, you will evaluate and

improve Google's Shopping products. You will collaborate with a

multidisciplinary team of engineers and product managers on a wide range of

problems. You will bring analytical aptitude and statistical methods to the

challenges of measuring quality, improving consumer products, and understanding

the behavior of our end-users, merchants, and partners. You will develop,

organize, and launch experiments and projects across Engineering and Product

teams.

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:

• Work with large, complex data sets and solve difficult, non-routine analysis

problems. Conduct end-to-end analysis that includes data gathering and

requirements specification, processing, analysis, ongoing deliverables, and

presentations.

• Build and prototype analysis pipelines iteratively to provide insights at

scale. Develop comprehensive understanding of Google data structures and

metrics, advocating for changes where needed for both product development and

sales activity.

• Interact cross-functionally with a wide variety of leaders and teams, and

work closely with Engineers and Product Managers to identify opportunities

for design and to assess improvements for Google products.

• Make business recommendations with effective presentation of findings at

multiple levels of stakeholders through visual displays of quantitative

information.

• Research and develop analysis and methods to improve the quality of Google's

user facing products.