Data Scientist, Product, Google Cloud Business Platform

Google; Sunnyvale (CA); On-site; USD 183,000 - 271,000; Full time

Job summary

A leading tech company is seeking a Data Scientist for its Google Cloud Business Platform. This role involves delivering data-driven insights, collaborating with cross-functional teams, and applying advanced statistical analysis to enhance product strategies. Ideal candidates will have extensive experience in analytics, coding, and machine learning, contributing to impactful business recommendations.

Qualifications

• 10 years of experience using analytics to solve product or business problems.
• Experience with statistical data analysis, modeling, and experimentation.
• Excellent programming skills in Python or R.

Responsibilities

• Deliver effective presentations of data-driven insights to stakeholders.
• Define and evolve product success metrics.
• Collaborate with Engineering to productize machine learning models.

Skills

Statistical analysis

Data analysis

Coding (Python, R, SQL)

Machine learning

Education

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics

Master's degree (preferred)

Job description

Data Scientist, Product, Google Cloud Business Platform

Join to apply for the Data Scientist, Product, Google Cloud Business Platform role at Google

Data Scientist, Product, Google Cloud Business Platform

Join to apply for the Data Scientist, Product, Google Cloud Business Platform role at Google

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or in a related quantitative field, or equivalent practical experience.
• 10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years of experience and a Master's degree).
• Experience with statistical data analysis, modeling, experimentation, or causal inference to solve product and business problems.
  
  

Minimum qualifications:

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or in a related quantitative field, or equivalent practical experience.
• 10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years of experience and a Master's degree).
• Experience with statistical data analysis, modeling, experimentation, or causal inference to solve product and business problems.
  
  

Preferred qualifications:

• Experience in extracting large sets of data with SQL and in designing ETL flows.
• Experience in solving unstructured business problems with data science, translating results into impactful business recommendations, and measuring the success of those initiatives.
• Experience in developing AI/ML applications from inception to completion.
• Excellent programming skills in Python or R.
  
  

About The Job

The Google Cloud Business Platform (GCBP) - Data Science team is a central intelligence team in Google Cloud Business Platform. Our mission is to empower GCBP with data-driven insights that drive scale and efficiency for the business, and exceptional experiences for customers. We partner with various stakeholders across Cloud to deliver fast, iterative insights to optimize the customer journey and end to end business operation. We partner with engineers in Data Platform and Infrastructure to scale and operationalize our insights.

This is a high-visibility role that partners closely with Product, Engineering, and UX leads. You will also regularly share your findings and present your work to cloud leadership.

Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.

The US base salary range for this full-time position is $183,000-$271,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Responsibilities

• Deliver effective presentations of data-driven insights and recommendations to multiple levels of stakeholders. Partner with Product, Engineering, and cross-functional teams to influence, prioritize, and support product strategy.
• Define, own, and evolve product success metrics. Report, analyze, and forecast trends of key product metrics and make recommendations to improve them.
• Collaborate with the Engineering team to develop prototypes and productize machine learning models by framing a business case into a machine learning program.
• Lead the design, analysis, and interpretation of product experiments.
• Apply technical expertise with observational data analysis, modeling, and causal inference to answer the most important product questions.
  
  
  

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 .

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  General Business, Strategy/Planning, and Consulting

• Industries

  Information Services and Technology, Information and Internet

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