Research Data Scientist, Magic Eye

Google Inc.; Mountain View (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google Mountain View, CA, is hiring a Share Research Data Scientist for the Magic Eye initiative. The role focuses on cross-product user research, metric development, and data-informed decision making to guide Google's consumer products.

You will build scalable analyses, leverage advanced methodologies, and partner with teams across Search, Ads, Android, YouTube, UX, and Finance. The team emphasizes causal inference, observational studies, and experiments at scale, with compensation including a

Qualifications

• Master's degree in a quantitative field is required.
• 3 years of work experience using analytics to solve product or business problems or a PhD.
• Proficiency with Python, R, SQL, and querying databases.

Responsibilities

• Collaborate with cross-functional teams to translate business questions into tractable analyses and models.
• Design, evaluate, and communicate data-driven insights to influence product decisions.
• Gather information on goals, priorities, and data infrastructure to support analyses.
• Extract and harmonize data from multiple sources using relevant tools and ensure data quality.

Skills

Problem solving

Mentoring

Analytical thinking

Education

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or related quantitative field

Tools

Python

R

SQL

Job description

Share Research Data Scientist, Magic Eye

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Google Mountain View, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Share Research Data Scientist, Magic Eye

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.

Preferred qualifications:

• 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.

About the job

Magic Eye's mission is to guide strategic decision making for Google's consumer products through data-informed insights, actionable user metrics, and definitions of success. The analysis team partners closely with cross-product area teams from Search, Ads, Android, YouTube, etc., and cross-functionally with teams from Engineering, Behavioral Economics, UX, Finance to bring methodology, data, and insights to Googlers and Google leads.

The analysis team is focused on cross-product user research and metric development to dig into Google's performance, including understanding Google's most important users, drivers of key trends, and layering in context from industry and the world. Key research questions include understanding the rapidly evolving GenAI landscape and user journeys across products and devices to identify cross-company strategic opportunities. This team also focuses on advanced decision making frameworks and tooling, ranging from observational, to causal inference, to experiments. We're all about scale to develop and leverage reliable, reproducible analyses for ourselves, our partners, and to drive aligned decision making across Google. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

About the job

Magic Eye's mission is to guide strategic decision making for Google's consumer products through data-informed insights, actionable user metrics, and definitions of success. The analysis team partners closely with cross-product area teams from Search, Ads, Android, YouTube, etc., and cross-functionally with teams from Engineering, Behavioral Economics, UX, Finance to bring methodology, data, and insights to Googlers and Google leads.

The analysis team is focused on cross-product user research and metric development to dig into Google's performance, including understanding Google's most important users, drivers of key trends, and layering in context from industry and the world. Key research questions include understanding the rapidly evolving GenAI landscape and user journeys across products and devices to identify cross-company strategic opportunities. This team also focuses on advanced decision making frameworks and tooling, ranging from observational, to causal inference, to experiments. We're all about scale to develop and leverage reliable, reproducible analyses for ourselves, our partners, and to drive aligned decision making across Google. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

• Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
• Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
• Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
• Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.

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.