Connected TV Data Scientist

Google is a global technology company that specializes in internet-related services and products.
$127,000 - $187,000
Data
Mid-Level Software Engineer
In-Person
3+ years of experience
AI · Consumer

Description For Connected TV Data Scientist

Google is seeking a Connected TV Data Scientist to join their team focused on improving content recommendations for Connected TV (CTV) platforms. This role offers an exciting opportunity to work on search and discovery teams, specifically targeting user growth and watchtime optimization through enhanced recommendation systems.

The position requires a strong quantitative background with a Master's degree in a relevant field and at least 3 years of experience in analytics and coding. You'll be working with cutting-edge recommendation systems across various CTV surfaces including YouTube Living Room Apps, home interfaces, search functionality, and watch-next features.

As a Data Scientist, you'll collaborate closely with Product Managers, Engineers, and UXR leaders to develop and improve content recommendations that not only serve viewers' needs but also help diversify their interests. The role involves sophisticated data analysis, model design, and metric development to ensure optimal user experiences.

The compensation package is highly competitive, ranging from $127,000 to $187,000 base salary, plus additional benefits including bonus and equity opportunities. Google offers a comprehensive benefits package and is committed to creating an inclusive work environment.

This position is perfect for someone who combines strong analytical skills with practical coding experience in languages like Python, R, and SQL. You'll be responsible for gathering and analyzing data, designing mathematical models, and working with specialized data infrastructure to solve complex problems in the Connected TV space.

Google's commitment to equal opportunity employment and creating a diverse workforce makes this an excellent opportunity for candidates from all backgrounds. The role offers the chance to make a significant impact on how millions of users discover and engage with content on Connected TV platforms.

If you're passionate about data science, interested in recommendation systems, and want to work on products that affect how people consume media globally, this role presents an excellent opportunity to join one of the world's leading technology companies and make a meaningful impact in the Connected TV space.

Last updated a month ago

Responsibilities For Connected TV Data Scientist

  • Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer
  • Provide feedback to refine business questions into tractable analysis, evaluation metrics, or mathematical models
  • Use custom data infrastructure or existing data models as appropriate, using specialized knowledge
  • Design and evaluate models to mathematically express and solve problems with limited precedent
  • Gather information, business goals, priorities, and organizational context around the questions to answer
  • Own the process of gathering, extracting, compiling data across sources via relevant tools
  • Format, re-structure, validate data to ensure quality, and review the dataset to ensure it is ready for analysis
  • Analyze Living Room discovery (recommendation models)
  • Define and improve success metrics that are proxies of good user experiences

Requirements For Connected TV Data Scientist

Python
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience
  • 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree
  • 5 years of work experience preferred

Benefits For Connected TV Data Scientist

Medical Insurance
Dental Insurance
Vision Insurance
Equity
  • Base salary
  • Bonus
  • Equity
  • Comprehensive benefits package

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