Senior Data Scientist, Research, Ads Metrics

Google is a global technology company that specializes in internet-related services and products.
$150,000 - $223,000
Data
Senior Software Engineer
In-Person
5+ years of experience
AI

Description For Senior Data Scientist, Research, Ads Metrics

Google is seeking a Senior Data Scientist to join their Advertising and Commerce team, focusing on Research and Ads Metrics. This role combines analytical excellence with practical business impact, where you'll be instrumental in shaping Google's business and technical strategies through data-driven decision-making.

The position offers an exciting opportunity to work at the intersection of data science and advertising effectiveness, where you'll analyze huge datasets to enhance advertising efficacy and optimize various aspects of Google's operations. You'll be working with a salary range of $150,000-$223,000, plus additional benefits including bonus and equity packages.

As a Senior Data Scientist, you'll collaborate with Engineers, Product Managers, Sales Associates, and Marketing teams to translate complex business questions into actionable insights. The role requires strong technical skills in Python, SQL, and statistical analysis, combined with 5 years of relevant experience (or 3 years with a PhD).

The position is based in either Mountain View, CA or New York City, offering the chance to work at some of Google's main tech hubs. You'll be part of a team that prioritizes users first, particularly in the advertising and commerce space, where the goal is to make ads and commercial information highly useful and relevant to users.

Key responsibilities include designing and evaluating mathematical models, collaborating with cross-functional teams, and owning the entire data analysis process from gathering to insights generation. You'll work on improving Google's products while maintaining a strong focus on user behavior and needs.

This role is perfect for someone who combines strong technical skills with business acumen, enjoys working with large-scale data, and wants to make a significant impact on how millions of users interact with Google's advertising products. The position offers competitive compensation, comprehensive benefits, and the opportunity to work with cutting-edge technology at one of the world's leading tech companies.

Google maintains a strong commitment to diversity, equality, and inclusion, making it an ideal workplace for professionals from all backgrounds. The collaborative environment, combined with the opportunity to work on challenging problems at scale, makes this an exceptional opportunity for a senior data scientist looking to make a meaningful impact in the tech industry.

Last updated 9 minutes ago

Responsibilities For Senior Data Scientist, Research, Ads Metrics

  • Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer
  • Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models
  • Use custom data infrastructure or existing data models as appropriate, using knowledge
  • Design and evaluate models to mathematically express and solve defined problems with limited precedent
  • Gather information, business goals, priorities, and organizational context around the questions to answer
  • Own the process of gathering, extracting, and compiling data across sources via tools (e.g., SQL, R, Python)
  • Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis

Requirements For Senior Data Scientist, Research, Ads Metrics

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

Benefits For Senior Data Scientist, Research, Ads Metrics

  • bonus
  • equity
  • benefits

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