Data Scientist III, Product

Google Inc.; Zürich; Hybrid; CHF 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Health insurance

Zusammenfassung

Google Inc. is seeking a Data Scientist III for Product to drive quantitative support, strategic analytics, and storytelling with data across partners in Engineering and Product Management.

You will automate data extraction, build dashboards, and present findings to guide product and process improvements. The role requires a strong background in statistics and programming (Python/R/SQL), with 5+ years of analytics experience or 2 years with a Master’s degree, and at least 1 year in AI-related

Qualifikationen

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years work experience with a Master's degree).
• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).
• 1 year of experience with AI Algorithms.

Aufgaben

• Automate data extraction from extensive geospatial datasets to build comprehensive reporting and monitoring dashboards that track business health.
• Conduct large-scale data modeling and analysis to discover strategic improvement opportunities and accurately evaluate initiative impact.
• Design and develop statistical methodologies to evaluate data quality while performing thorough root cause analysis on failure cases.
• Present data-driven findings and insights to key stakeholders in regular syncs, making strategic recommendations to guide product or process enhancements.
• Identify and prioritize high-impact growth opportunities and critical operational challenges, delivering execution and noticeable improvements based on continuous feedback.

Kenntnisse

5 years analytics experience

Python

R

SQL

Ausbildung

Bachelor's degree in a quantitative field

Master's degree (preferred)

Tools

Python

R

SQL

Jobbeschreibung

Mid

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

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• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  
• 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 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.
  
• 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).
• 1 year of experience with AI Algorithms.
  

About the job

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

Responsibilities

• Automate data extraction from extensive geospatial datasets to build comprehensive reporting and monitoring dashboards that track business health.
• Conduct large-scale data modeling and analysis to discover strategic improvement opportunities and accurately evaluate initiative impact.
• Design and develop statistical methodologies to evaluate data quality while performing thorough root cause analysis on failure cases.
• Present data-driven findings and insights to key stakeholders in regular syncs, making strategic recommendations to guide product or process enhancements.
  
• Identify and prioritize high-impact growth opportunities and critical operational challenges, delivering execution and noticeable improvements based on continuous feedback.
  

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.