Staff Research Data Scientist

About the role

MINIMUM QUALIFICATIONS:

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics,

Operations Research, Engineering, or a related quantitative field.

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

problems, coding (e.g., Python, R, SQL), querying databases or statistical

analysis, or 6 years of work experience with a PhD degree.

PREFERRED QUALIFICATIONS:

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

problems, coding (e.g., Python, R, SQL), querying databases or statistical

analysis, or 8 years of work experience with a PhD degree.

• 2 years of relevant work experience as a data scientist/product analyst,

including deep expertise and experience with statistical data analysis such

as linear models, multivariate analysis, causal inference, sampling methods.

• Experience articulating business questions and using mathematical techniques

to arrive at an answer using available data. Experience results into business

recommendations.

• Demonstrated skills in selecting the right statistical tools given a data

analysis problem.

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, 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).

In 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. You will work closely with Labs product teams (PMs,

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 investigative 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: $207000 - $300000 (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 investigative methods as needed. Conduct

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

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

• Regularly 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.

• Interact cross-functionally with a wide variety of people and teams. Work

closely with engineers to identify opportunities for, design, and assess

improvements to google products.

• Make business recommendations (e.g. cost-benefit, forecasting, experiment

analysis) with effective presentations of findings at multiple levels of

stakeholders through visual displays of quantitative information.