Senior Data Scientist, Product, GooglePay
Technology, Data & Digital · Data, AI & Analytics · Data Science · Data Analysis · Business Analysis
In short
As a Senior Data Scientist for GooglePay in Singapore or Bengaluru, you will provide quantitative support and strategic perspective to product and engineering teams. You will lead complex analytical projects, derive actionable insights from data, and influence leadership decisions within the fintech ecosystem.
Responsibilities
- Identify and solve ambiguous, high-stakes problems, transforming data into clear, actionable insights that directly influence leadership decisions (VPs and Directors).
- Lead complex projects that combine analytical excellence with organizational strategy, delivering clear and actionable insights that inform tangible business decisions.
- Become a strategic thought partner to stakeholders across product, engineering, and executive leadership, influencing key decisions at multiple levels.
- Elevate the role of data science within the organization by maintaining high standards of technical excellence, clear communication, and impactful stakeholder influence.
- Contribute to the development and alignment of team OKRs and analytics strategy to ensure they support broader product and business goals across the Payments organization.
Requirements
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of work experience with a Master's degree.
- 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of work experience with a Master's degree.
- Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.
Desired Qualifications
- 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 8 years of work experience with a Master's degree.
- Experience in product analytics within Payments, e-commerce, or financial services.
- Experience driving large scale projects/incrementally study/value estimation through causal methods.
- Experience as a business/quantitative analyst in e-com, payments or financial services.
Benefits
- Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc.
- Google is proud to be an equal opportunity and affirmative action employer.
- See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
#product#data science#payments#fintech#analytics#python#r#sql#statistical analysis#causal methods#e-commerce#financial services
Company
Job Posted
2 weeks ago
Employment Type
Full Time
WorkMode
Hybrid
Experience Level
Senior
Locations
Singapore, Singapore
Bengaluru, India
Qualification
Bachelor, Master, Doctoral
Applicants
Be an early applicant