Senior Data Scientist, Product, Payments - Singapore

GOOGLE ASIA PACIFIC PTE. LTD.; Pasir Panjang; On-site; MYR 200,000 - 250,000; Full time

Job summary

A leading tech company in Malaysia is seeking an experienced analyst to drive product and business decisions through data analysis and statistical evaluations. The ideal candidate will have extensive experience with SQL, R, and Python, along with strong analytical capabilities to support business reviews and product improvements. This role is critical for aligning resources and driving innovation across various payment consumer products.

Qualifications

• 8 years experience with analytics or 5 with a Master's degree.
• 4 years experience with SQL and statistics tools.
• Experience in statistical/casual inference techniques.

Responsibilities

• Perform analysis with SQL, R, and Python.
• Report on Key Performance Indicators (KPIs).
• Build analysis cases to provide insights.

Skills

SQL

R

Python

Statistical Analysis

Causal Inference

Education

Bachelor's degree in a related quantitative field

Tools

Teradata

MySQL

Job description

Job description

In this role, you will ensure that Google makes business and product decisions through data, evaluation and statistical analysis. You will be analyzing signal behavior to drive growth strategy, product excellence in signal quality, identifying headroom opportunities, tracking performance or building metrics that matter, is used by our leaders to make product decisions across various Payment consumer products.

Qualifications

Job responsibilities

• Perform analysis utilizing related tools (e.g., SQL, R, Python). Help solve problems, narrow down multiple options into the best approach, and take ownership of open-ended business problems to reach an optimal solution.
• Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues.
• Report on Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities.
• Build and prototype analysis and business cases to provide insights. Develop knowledge of Google data structures and metrics, advocating for changes where needed for product development.
• Influence across teams to align resources and direction.

Minimum qualifications

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 8 years of experience with analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years work experience with a Master's degree.
• 4 years of experience with databases, SQL coding with standard commercial databases (e.g., Teradata, MySQL), and statistics tools (e.g., R, Python).
• Experience in working on statistical/casual inference techniques across Experimentation and Observational studies.

Preferred qualifications

• Experience with working in the Digital Ads or Payment industry.
• Experience in driving incrementality value estimation through causal methods.
• Experience as a business/quantitative analyst in e-commerce, payments or financial services.
• Ability to manage, organize work and a team of analysts, with excellent communication skills with executive management.