Product Data Scientist, Pixel

Minimum qualifications:

• Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience.
• 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL).
  

Preferred qualifications:

• Advanced degree in quantitative discipline.
• Experience performing data engineering and programming in Python.
• Experience with experiment design and measurement.
• Understanding of decision science, with the ability to drive optimal choices based on available information while eliminating bias.
• Excellent SQL, data analysis, and problem-solving skills, with the ability to understand statistical modeling techniques as well as machine learning.
• Excellent communication and stakeholder management skills, with the ability to interact with other teams and Google’s leadership.
  

About The Job

Google Pixel phones showcase the Google experiences in a smartphone. We develop new technologies and hardware to make user experiences faster, powerful, and seamless, including our camera experiences powered by Google smarts, including artificial intelligence and machine learning.

In this role, you will be a part of building Google’s Pixel phone business to bring the best of Google to the smartphone experience. You will be responsible for the Pixel product and business strategy, market and engaged analyses, and any analytics driving profit and loss decisions. You will provide business/product critical insights using analytics and data driven insights. You will work closely with executive leaders, Product Manager, Marketing, and all other teams.

Responsibilities

• Own and execute the workstream of Pixel dashboards, data engineering, dashboard design, metrics definitions, and insights sharing.
• Perform analysis on key Pixel metrics to identify opportunities for strategy improvement.
• Liaise and align cross-functionally with Product Management, Marketing, Sales, and Executive Team to understand key business/product problems, leverage analytics to find solutions, and impact decisions by sharing findings.
• Build predictive and causal models to understand user behaviors such as churn, loyalty, and engagement.
• Perform regular data engineering to generate datasets that support above efforts. Identify KPIs and perform analysis and experiments to properly evaluate success of Pixel programs/products.
  
  

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of 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. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .