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Data Scientist, Product, Merchant Shopping Analytics - Job Opportunity at Google

London, GB
Full-time
Senior
Posted: May 9, 2025
Hybrid
GBP 120,000 - 180,000 per year plus equity, based on London market rates for senior data science roles at FAANG companies

Benefits

Comprehensive healthcare coverage typical of tech giants
Advanced professional development opportunities
Competitive equity compensation
Work-life balance initiatives
Extensive learning resources
Global mobility opportunities

Key Responsibilities

Lead complex data analysis using SQL, R, and Python to drive product strategy and business decisions
Develop and implement sophisticated analytical frameworks for merchant shopping analytics
Create and maintain strategic KPI dashboards for executive decision-making
Build scalable data solutions and prototypes to support product development
Drive cross-functional collaboration and influence product direction through data insights
Design and implement new analytical processes with forward-looking architecture

Requirements

Education

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

Experience

8 years with Bachelor's or 5 years with Master's degree

Required Skills

Python R SQL Statistical analysis Product analytics Business problem-solving Data storytelling Strategic thinking
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Sauge AI Market Intelligence

Industry Trends

E-commerce analytics is experiencing rapid evolution with increasing focus on real-time merchant insights and behavioral analysis Integration of machine learning and AI in shopping analytics is becoming a critical differentiator Growing emphasis on privacy-preserving analytics techniques in response to regulatory changes Shift towards predictive analytics for merchant behavior and performance optimization

Role Significance

Typically part of a 5-8 person core analytics team within a larger product organization of 50-100 people
Senior individual contributor role with significant strategic influence on product direction and merchant solutions

Key Projects

Development of merchant performance prediction models Shopping experience optimization initiatives Cross-platform analytics integration Strategic metrics framework development Data infrastructure optimization projects

Success Factors

Deep understanding of e-commerce metrics and merchant behavior patterns Ability to translate complex analysis into actionable business insights Strong stakeholder management and influence skills Technical excellence in statistical analysis and programming Product mindset with focus on scalable solutions

Market Demand

Very high demand with significant competition for talent, particularly in e-commerce analytics specialization

Important Skills

Critical Skills

Advanced statistical analysis for complex business problems Python/R programming for large-scale data processing SQL expertise for data manipulation and analysis Business acumen and strategic thinking Stakeholder communication and influence

Beneficial Skills

Machine learning and AI implementation experience Cloud computing platforms knowledge A/B testing and experimentation design Data visualization expertise Product analytics tools

Unique Aspects

Direct impact on Google's merchant shopping ecosystem affecting millions of users
Access to unprecedented scale of data and computational resources
Opportunity to influence global e-commerce standards
Work with cutting-edge analytics infrastructure

Career Growth

2-3 years in role before advancement, with opportunities for lateral moves across product areas

Potential Next Roles

Lead Data Scientist Analytics Manager Product Analytics Director Head of Data Science Technical Product Manager

Company Overview

Google

Google maintains leadership in global search and digital advertising, with significant investment in e-commerce capabilities

Top-tier technology company with extensive resources and global reach
London office serves as a major European hub with significant product development responsibility
Innovation-driven environment with emphasis on data-driven decision making and significant technical autonomy
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