Google

Senior Product Data Scientist, Google Ads

Google$163K — $237K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a quantitative field (Statistics, Mathematics, Data Science, etc.)
  • 8 years' experience in analytics-oriented roles; 5 years with a Master's degree
  • Proficient in Python, R, SQL for data analysis
  • Strong background in statistical analysis and business problem-solving
  • Experience with automation technologies in advertising platforms.

Responsibilities

  • Perform in-depth technical analyses of unstructured data to evaluate advertising platform performance.
  • Investigate business and product strategies to deliver actionable insights.
  • Design and execute experiments to determine product changes' impact on performance.
  • Maintain and enhance the metrics ecosystem to measure team impact on business and advertiser success.
  • Develop new feature ideas based on data-driven insights.

Benefits

  • Health, dental, vision, life, disability insurance
  • 401(k) with company match for retirement
  • 20 days of vacation annually, accruing at 6.15 hours per pay period in the first five years
  • 40 hours of sick time per year, increasing to 69 hours for Seattle employees
  • Maternity Leave of 28-30 weeks and Baby Bonding Leave of 18 weeks
  • 13 paid holidays each year.
Full Job Description
info_outline
X In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Kirkland, WA, USA; Mountain View, CA, USA; New York, NY, USA.

Minimum qualifications:
  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years of work experience with a Master's degree).

Preferred qualifications:
  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).


About the job

The Advertiser Platform (AP) team drives better business outcomes for ads customers through automation and critically important platforms, encouraging long-term investments with Google. The AP Product Analytics (APPA) team enables the AP team to make data-driven decisions by building tooling, maintaining datasets, and by measuring and delivering insights for improving key metrics for our scaled and automated Google Ads products.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $237000 (USD) 15% bonus target equity benefits

Learn more about benefits at Google .

Responsibilities
  • Perform deep technical analyses with unstructured data (e.g., logs) to assess the success of the ads platform in delivering optimal performance for advertisers.
  • Investigate fundamental business and product strategy questions, deliver deep insights on specific topics and areas to provoke new feature/product ideas, identify new interventions to drive advertiser value and business impact, identify key drivers of success and anticipate future trends.
  • Design and evaluate experiments to help the team understand how product changes affect advertiser performance.
  • Steward our metrics ecosystem that captures the incremental impact the AP team delivers for Google's business and our advertisers.


About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ

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