Staff Research Data Scientist, Google Labs

Google Inc.; New York, Mountain View (NY, CA); On-site; USD 180,000 - 300,000; Full time

Job summary

Google is seeking a Staff Research Data Scientist for Google Labs in New York, NY (with option for Mountain View, CA). You will join the Data Science team to drive analytics, measurement, and data-driven product decisions across Labs.

The role involves end-to-end analyses, building scalable data pipelines, and presenting insights to executives. A Master’s in a quantitative field and 8+ years of relevant experience are required.

Qualifications

• Master's degree in a quantitative field such as Statistics, Data Science, Mathematics, Physics, Economics, OR Engineering.
• 8 years of work experience using analytics or 6 years with a PhD.

Responsibilities

• Perform end-to-end analyses including data gathering, processing, analysis, and presentation of results.
• Regularly present analyses to executives to influence product direction.
• Build and prototype scalable analysis pipelines and dashboards.
• Collaborate with engineers and cross-functional teams to improve products.
• Make data-driven business recommendations with clear visuals.

Skills

Python

R

SQL

Analytics

Education

Master's degree

Tools

SQL querying

Job description

Staff Research Data Scientist, Google Labs

Share Staff Research Data Scientist, Google Labs

Google New York, NY, USA ; Mountain View, CA, USA

X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Mountain View, CA, USA.

• 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

• 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.