Google - Mountain View, CA

posted 4 months ago

Full-time - Mid Level
Mountain View, CA
5,001-10,000 employees
Web Search Portals, Libraries, Archives, and Other Information Services

About the position

At Google, data drives all of our decision-making. As a Data Scientist focused on Research and Advertiser Optimization for YouTube Ads, you will play a crucial role in shaping Google's business and technical strategies by processing, analyzing, and interpreting vast data sets. Your analytical excellence and statistical methods will be essential in mining through data to identify opportunities for Google and its clients to operate more efficiently. This includes enhancing advertising efficacy, optimizing network infrastructure, and studying user behavior. In this role, you will not only analyze data but also collaborate with Engineers, Product Managers, Sales Associates, and Marketing teams to adjust Google's practices based on your findings. Identifying problems is just the beginning; you will also be responsible for devising solutions. You will evaluate and improve Google's products, working alongside a multi-disciplinary team of engineers and analysts on a wide range of challenges. This position requires a scientific approach and statistical methods to tackle product creation, development, and improvement while considering the behaviors of end users. The US base salary range for this full-time position is $127,000-$187,000, plus bonuses, equity, and benefits. The salary range reflects the minimum and maximum target salaries for the position across all US locations, with individual pay determined by work location and other factors such as job-related skills, experience, and relevant education or training. Your recruiter can provide more specific salary information during the hiring process. Google is committed to being an equal opportunity workplace and an affirmative action employer, ensuring equal employment opportunity regardless of various factors including race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Responsibilities

  • Manage bidding optimization to ensure exceptional advertiser experiences, while contributing to business growth.
  • Align retrieval scores with auctions to maximize the total desired spend across all advertisers and ensure YouTube advertisers see immediate benefits from investments.
  • Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python).
  • Independently format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
  • Use custom data infrastructure or existing data models as appropriate, using specialized knowledge.
  • Design and evaluate models to mathematically express and solve defined problems with limited precedent.
  • Collaborate with cross-functional stakeholders 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.

Requirements

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

Nice-to-haves

  • 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 a PhD degree.
  • Experience and strong interest in understanding, measuring, and improving end user experience.
  • Experience in constrained optimization theory.
  • Knowledge of Ads systems, including auction, serving, and ads quality.

Benefits

  • Health insurance
  • Dental insurance
  • Vision insurance
  • 401(k) plan with company matching
  • Paid time off
  • Parental leave
  • Employee stock purchase plan
  • Tuition reimbursement
  • Professional development opportunities
  • Wellness programs
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