Staff Product Data Scientist

About the role

MINIMUM QUALIFICATIONS:

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

Physics, Economics, or a related quantitative field.

• 10 years of work experience using analytics to solve product or business

problems, performing statistical analysis, and coding (e.g., Python, R, SQL),

or 8 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.

• 12 years of work experience using analytics to solve product or business

problems, performing statistical analysis, and coding (e.g., Python, R, SQL).

• 2 years of work experience (e.g., as a statistician, data scientist, or

product analyst), including statistical data analysis such as linear models,

multivariate analysis, causal inference, and sampling methods.

• Experience articulating business questions and using mathematical techniques

to arrive at an answer using available data.

• Experience translating analysis results into business recommendations.

ABOUT THE JOB:

Google Labs exists to discover and deliver new products that advance Google’s

mission. Labs builds innovative new products and gets them into the hands of

users as quickly as possible. The Labs team also runs labs.google

[http://labs.google/], a place where you can try and co-create with Google's

latest AI. We co-create with internal and external teams to showcase their bold

and responsible ideas, so we can all shape the future of technology together

(see go/labs).

For this role, you will be joining the Data Science team within Labs. The Labs

Data Science team is a horizontal team, and we help the broader Labs team with

metrics, experimentation, evaluation, insights, and data-driven decision making.

The Labs Data Science team is a horizontal team that supports quality

evaluation, growth analysis, and data-driven decision making across the

portfolio of Labs products. In this role, you will work closely with Labs

product teams (Product Managers, Engineers, and cross-functional partners) on

selected analysis projects. Example projects include growth and funnel analysis,

quality evaluation (autoraters, metrics, eval set development), top-line metrics

development, and user insights. You will work with these teams to develop

scalable analytical tools (dashboards, metrics, pipelines), and also to

communicate actionable results to the product teams to help influence product

direction.

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

experience, and relevant education or training.

US: $192000 - $278000 (USD) + 20% 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. Solve difficult, non-routine analysis

problems, applying advanced analytical methods as needed.

• Conduct end-to-end analysis that includes data gathering and requirements

specification, processing, analysis, ongoing deliverables, and presentations.

• Share/present analysis to organization executives in order to share insights

and influence product direction.

• 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 products development and sales

activity.