Google

Senior Staff Data Science Manager, Ads Metrics

Google • $262K — $364K *
Mountain View, CA 94040In-Person
Consumer Technology
8 - 10 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Master's degree in a quantitative field (e.g., Statistics, Data Science)
  • 10 years of analytics experience or 8 years with a PhD
  • Proficient in coding (Python, R, SQL) and statistical analysis
  • Strong background in database querying and data manipulation
  • Preferred: 12 years of experience or 10 years with a PhD.
  • Experience leading and managing teams

Responsibilities

  • Collaborate with cross-functional teams to define and refine business questions.
  • Design and evaluate mathematical models to address unique challenges.
  • Gather and assess information to inform data-driven decision-making.
  • Extract and compile data from various sources using tools like SQL, R, and Python.
  • Implement machine learning and AI techniques to develop analytical models.

Benefits

  • 25% bonus target equity
  • Comprehensive health and wellness programs
  • Professional development opportunities
  • Flexible work environment
  • Generous vacation and leave policies
Full Job Description
Minimum qualifications:
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  • 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.

Preferred qualifications:
  • 12 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 10 years of work experience with a PhD degree.
  • Experience in team management.


Responsibilities
  • 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 specialized 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, as well as the existing and upcoming data infrastructure.
  • Own the process of gathering, extracting, and compiling data across sources via relevant 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.
  • Apply data analysis, machine learning, and AI algorithms to develop models and drive thinking.


US: $262000 - $364000 (USD) 25% bonus target equity benefits

Learn more about benefits at Google .

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
Enterprise Technology
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ
GOOGL
* Ladders Estimates

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