Data Scientist, Product Identity Personalization
Job Overview
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Job Description
About the Job
Help serve Google's worldwide user base of more than a billion people. As a Data Scientist, Product Identity Personalization, you will provide quantitative support, market understanding, and a strategic perspective to partners throughout Google. You will act as an analytics expert, using data to inform better decisions, weave compelling stories from meaningful insights, and make critical recommendations to Engineering and Product Management teams. This role requires a balance of detailed numerical analysis and effective communication of findings to leadership.
Responsibilities
- Perform statistical modeling and user-journey analysis to identify product opportunities and quantify the impact of initiatives on Key Performance Indicators (KPIs).
- Collaborate with Engineering, Product, and UX teams to develop validation methodologies, evaluation metrics, and fine-tuning datasets for Large Language Models.
- Define and implement data quality frameworks while automating dashboards and reports to provide actionable insights at scale.
- Lead advanced experimentation (including user learning effects) and present data-driven recommendations to cross-functional stakeholders to drive product strategy.
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 of work experience with a Master's degree).
Preferred qualifications
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, Computer Science, or a related quantitative field.
- Experience in framing and solving unstructured business problems with data science, translating results into impactful business recommendations, and measuring the success of those initiatives.
- Experience with LLM evaluation techniques.
- Experience with human evaluation data such as surveys and raters.
Key skills/competency
- Statistical Modeling
- User Journey Analysis
- Product Strategy
- Large Language Models (LLM)
- Experimentation Design
- Data Quality Frameworks
- Python, R, SQL
- KPI Quantification
- Actionable Insights
- Cross-functional Collaboration
How to Get Hired at Google
- Research Google's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Customize your resume to highlight experience in product data science, statistical modeling, and LLM evaluation relevant to Google.
- Showcase problem-solving: Prepare to discuss how you've used data science to solve unstructured business problems and deliver impactful recommendations.
- Practice technical skills: Sharpen your Python, R, and SQL coding skills, and review statistical analysis and experimentation methodologies.
- Demonstrate impact: Be ready to articulate specific examples of how your work has directly influenced product strategy and business outcomes at Google.
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