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Data Scientist III, Product

Google Zurich, Zurich, Switzerland

Software Development · 10,001+ employees

8 h ago
data-scientist Senior (5-10 yrs) Full-time Switzerland
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About the role

The Data Scientist will leverage data to drive product strategy and optimize user experiences through advanced analytical modeling. They will collaborate with cross-functional teams to identify growth opportunities and implement data-driven solutions.

What they look for

Data Science Product Analytics Statistical Modeling Machine Learning Python SQL Data Visualization A/B Testing Product Strategy Data Mining

Requirements

Candidates should possess significant experience in data science and product analytics, demonstrating proficiency in statistical methods and programming. A strong background in translating complex data insights into actionable business recommendations is required.

Full description

Minimum qualifications:

  • 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.

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