Data Scientist III, Product, Google Wallet

1 Day ago • 2-7 Years • Data Analyst • $132,000 PA - $189,000 PA

Job Summary

Job Description

The Data Scientist III, Product, Google Wallet role involves providing quantitative support and strategic market understanding to partners. Responsibilities include performing analysis using tools like SQL, R, and Python; gathering, extracting, and compiling data; reporting KPIs; translating analysis into business insights; influencing product development; and building analysis and business cases. The role requires collaborating with cross-functional teams, including engineering and product management, to make data-driven decisions and shape Wallet products. The ideal candidate will have strong analytical and communication skills and experience with large datasets.
Must have:
  • Bachelor's degree in quantitative field
  • 5 years experience with analysis applications and coding (or 2 years with Master's)
  • Proficiency in SQL, R, Python
  • Strong analytical and communication skills
Good to have:
  • Master's degree in quantitative field
  • Experience with Google data structures and metrics
Perks:
  • bonus
  • equity
  • benefits

Job Details

Minimum qualifications:

  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems, etc.), and coding (e.g., Python, R, SQL, etc.) or 2 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.
  • 5 years of experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).

About the job

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

As a Product Analyst, you will help shape Wallet products, helping our leaders make strategic decisions. You will coordinate across functions to dissect business, product, growth, acquisition, retention, and operational metrics. You will proactively help leverage data, conduct analyses and make final business recommendations, collaborating with Product teams to help build future looking business models. In this role, you will manages multiple projects at a time, focusing on the details and finding creative ways to take on big picture tests.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 $132,000-$189,000 + 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 .

Responsibilities

  • Perform analysis by utilizing tools (e.g., SQL, R, Python). Using comprehensive technical knowledge, use custom data infrastructure or existing data models.
  • Own the process of gathering, extracting, and compiling data across sources via tools (e.g., SQL, R, Python). Format, re-structure, and validate data to ensure quality.
  • Report Key Performance Indicators (KPIs) to support business reviews with a cross-functional/organizational leadership team. Translate analysis results in business insights or product improvement opportunities.
  • Provide investigative insights and recommendations to influence product feature development decisions, and with some guidance.
  • Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics.

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