Data Scientist III, Product, Payments Platform Compliance

4 Days ago • 5-7 Years • Data Analyst • $132,000 PA - $189,000 PA

Job Summary

Job Description

This Data Scientist III role focuses on Google's payments platform compliance. Responsibilities include performing analysis using SQL, R, and Python; gathering, extracting, and compiling data from various sources; ensuring data quality; reporting KPIs to leadership; translating analysis into business insights and product improvement opportunities; influencing product development decisions; building analysis and business cases; and developing expertise in Google's data structures and metrics. The ideal candidate will have a strong quantitative background and experience in data analysis and coding. The role requires collaboration with cross-functional teams and effective communication of findings.
Must have:
  • Bachelor's degree in quantitative field
  • 5 years experience with analysis & coding (Python, R, SQL)
  • Data analysis & interpretation skills
  • Strong communication skills
  • Proficient in SQL, R, Python
Good to have:
  • Master's degree in quantitative field
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 work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years work experience and a Master's degree).

Preferred qualifications:

  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

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.

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 relevant tools (e.g., SQL, R, Python). 
  • Own the process of gathering, extracting, and compiling data across sources via relevant 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 cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities.
  • Provide analytical insights and recommendations to influence product feature development decisions, 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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