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Data Scientist Research, Payments

AT Google
Google

Data Scientist Research, Payments

Mountain View, CA

Minimum qualifications:

  • Master's degree in a quantitative discipline (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, or industrial engineering) or equivalent practical experience.
  • 3 years of work experience using statistical software (e.g., R, Python, MATLAB, pandas) and database languages (e.g., SQL).
Preferred qualifications:
  • 5 years of work experience in data analysis or related field (e.g., as a statistician/data scientist/computational biologist/bioinformatician etc).

About the job

Payments are a huge opportunity and strategic imperative for Google. Mobile has changed users expectations. Online and offline are merging. Countries moving away from cash to digital. Payments are core primitive to the digital world.

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We are also the platform for most of Google's products (Ads, Enterprise, Consumer, Digital Goods, Physical Goods and more). This makes us central to every commerce transaction mediated OR fulfilled by Google. We also have a global focus to serve users across countries for developed and emerging markets.

Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses.

The US base salary range for this full-time position is $127,000-$187,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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

  • Bring the investigative and statistical excellence and data science principles to drive strategic and tactical product and business decisions.
  • Engage with cross-functional teams for different product initiatives across consumers, merchants and payments platform and help define, implement and evaluate measurement methodology to ultimately drive decisions.

Client-provided location(s): Mountain View, CA, USA
Job ID: Google-105002638600217286
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • HSA
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
    • Health Reimbursement Account
    • HSA With Employer Contribution
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
    • Adoption Leave
  • Work Flexibility

    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Pet-friendly Office
    • Snacks
    • Some Meals Provided
    • On-Site Cafeteria
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Leave of Absence
    • Volunteer Time Off
  • Financial and Retirement

    • 401(K) With Company Matching
    • Company Equity
    • Performance Bonus
    • Financial Counseling
  • Professional Development

    • Tuition Reimbursement
    • Internship Program
    • Learning and Development Stipend
  • Diversity and Inclusion

    • Employee Resource Groups (ERG)

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