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Data Scientist, Connected TV - Job Opportunity at Google

San Bruno, United States
Full-time
Senior
Posted: January 22, 2025
On-site
USD 127,000-187,000 per year

Benefits

Comprehensive bonus structure with industry-competitive multipliers
Equity compensation through Google's RSU program
Full suite of Google benefits including health, retirement, and wellness programs
Access to Google's world-class learning and development resources
Flexible workplace policies aligned with Google's culture

Key Responsibilities

Lead data-driven optimization of Connected TV recommendation systems to drive user engagement and watch-time metrics
Partner with cross-functional teams to translate business objectives into actionable analytical frameworks
Design and implement advanced statistical models for content recommendation algorithms
Develop and maintain key performance metrics for CTV platform success
Drive technical decision-making for recommendation system improvements across multiple CTV surfaces

Requirements

Education

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience

Experience

3 years of work experience using analytics to solve product or business problems

Required Skills

Python R SQL Statistical analysis Database querying Mathematical modeling Cross-functional collaboration Technical leadership
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Sauge AI Market Intelligence

Industry Trends

Connected TV market is experiencing exponential growth with streaming platforms investing heavily in recommendation technology Increasing focus on AI-powered content discovery systems as streaming competition intensifies Rising demand for data scientists with recommendation system expertise as platforms prioritize user retention

Salary Evaluation

The offered range of USD 127,000-187,000 is competitive for the Bay Area market, particularly given Google's additional compensation components. Total compensation including bonus and equity typically ranges from USD 200,000-350,000 annually

Role Significance

Typically operates within a team of 5-8 data scientists, collaborating with larger cross-functional groups of 20-30 people
Senior individual contributor role with significant technical influence on product direction

Key Projects

Recommendation system optimization for YouTube TV platform User engagement metric development and tracking Content discovery algorithm enhancement Cross-platform user behavior analysis Watch-time optimization strategies

Success Factors

Deep expertise in recommendation systems and content discovery algorithms Strong balance of technical skills and business acumen Ability to influence product strategy through data-driven insights Excellence in cross-functional collaboration and technical communication Track record of driving measurable improvements in user engagement metrics

Market Demand

Very high demand, particularly for data scientists with recommendation system expertise in the streaming media sector. Market shows sustained growth in this specialized niche

Important Skills

Critical Skills

Advanced statistical modeling for recommendation systems Large-scale data analysis and processing Python/R programming for complex analysis SQL for data extraction and manipulation Communication skills for cross-functional collaboration

Beneficial Skills

Machine learning deployment experience A/B testing methodology User behavior analysis Cloud computing platforms Distributed computing systems

Unique Aspects

Direct impact on YouTube's Connected TV strategy
Access to massive scale of user interaction data
Opportunity to influence next-generation content discovery systems
Work with cutting-edge recommendation technologies

Career Growth

Typical progression to next level within 2-3 years, depending on impact and organizational needs

Potential Next Roles

Senior Staff Data Scientist Technical Lead - Machine Learning Data Science Manager Product Analytics Director

Company Overview

Google

Google maintains leadership in digital advertising and technology innovation, with YouTube as a dominant force in video streaming

Top-tier technology company with significant resources and market influence in the streaming space
San Bruno location represents core YouTube operations with significant technical investment
Fast-paced, innovation-focused environment with emphasis on data-driven decision making and technical excellence
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