Data Scientist, Product, Insights, and Analytics
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Minimum qualifications:
- Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
- 3 years of experience with statistical data analysis, data mining, and querying (e.g., SQL).
- 2 years of experience managing analytical projects (e.g., translate business questions into analytical hypotheses, retrieve and analyse data, or synthesize answers and recommendations).
Preferred qualifications:
- 3 years of experience in machine learning projects using data sets.
- 3 years of experience using a language for statistical computing (e.g., Python, R, etc.).
- Ability to communicate technical findings with clarity to a non-technical audience of business stakeholders.
About the job
The Devices Insights and Analytics team is part of the Platform and Devices Product Area. The team's mission is to be a true insights and analytical source of competitive advantage to product areas.
As a Data Scientist, you will provide quantitative analysis and a strategic perspective to partners throughout the organization. You will build stories with insights from data, and make key recommendations for Product Management, Engineering, Business Development and Strategy. You will work to turn business questions into data analysis, and provide meaningful recommendations on strategy.
Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.
The US base salary range for this full-time position is $122,000-$178,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Write queries and perform analysis to answer business questions (e.g., SQL, R, Python), and structure high-level business questions into data-focused analytical hypotheses.
- Develop and automate reports, build dashboards to provide insights at scale, and solve for business priorities.
- Apply Large Language and other Machine Learning models to analyze structured and unstructured data (e.g., natural language processing).
- Generate insights from user sentiment and behavior to recommend product improvements and strategy, protect teams against overreaching statistical conclusions (e.g., sampling, correlation/causation).
- Deliver presentations of findings and recommendations to multiple levels of stakeholders, creating visual displays of quantitative information.
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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.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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.
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