Senior Data Scientist, Research, App Ecosystem and Trust

Google; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

Google is seeking a Senior Data Scientist for their Research, App Ecosystem and Trust team in Singapore. This role involves analyzing large datasets to derive insights that improve product effectiveness and user safety.

Applicants should hold a Master's degree in a quantitative field and possess a minimum of 5 years of experience in analytics. The position emphasizes collaboration with technical teams and requires strong machine learning and statistical analysis skills. The role offers an exciting opportunity to impact billions of Android users globally.

Qualifications

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, or related field.
• 5 years of analytics experience or 3 years with a PhD.
• Experience with statistical data analysis and machine learning.

Responsibilities

• Work with large datasets and solve complex analysis problems.
• Conduct end-to-end analyses including gathering, processing, and analysis.
• Collaborate with stakeholders to define objectives and metrics.

Skills

Python

R

SQL

Machine Learning

Statistical Analysis

Education

Master's degree in a quantitative field

PhD degree in a related field

Job description

Senior Data Scientist, Research, App Ecosystem and Trust

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.

Minimum qualifications:

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.

Preferred qualifications:

• PhD degree in Statistics, Mathematics, Data Science, Economics, or a related quantitative field.
• 4 years of experience, including expertise with statistical data analysis on real-world data such as ML modeling, experimentation, sampling methods, causal inference methods.
• Experience with machine learning on large datasets.
• Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data.
• Ability to demonstrate leadership and self-direction, with a willingness to both teach others and learn new techniques.
• Ability to demonstrate skills in selecting the right methodology given a data analysis problem.

About the job

At Google, data drives all of our decision-making. Quantitative Analysts work across the organization to help shape Google’s business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google’s practices according to your findings. Identifying the problem is only half the job; you also figure out the solution.

Our team’s mission is protecting billions of Android users from abusive applications, including malware, content abuse, impersonation, and behavioral abuse. Preventing abuse is fascinating technically and it features an adversarial scenario where we try to detect bad actors who try in turn to evade detection. Impact and success translates directly to keeping the Android ecosystem safe and protecting users from a variety of types of abuse.

As a Data Scientist, Research, you will have the unique opportunity to establish the foundation for data-driven decision-making and product innovation, directly impacting the safety of billions of Android users globally. Your day-to-day will involve data research, innovative solution development (such as improving and evaluating Machine Learning models), system optimization (e.g., enhancing enqueue and queue prioritization), review quality assessment (for both automated and human decisions), and a variety of other impactful projects requiring strong data and statistical acumen.

Responsibilities

• Work with large datasets, solve difficult, non-routine analysis problems, applying advanced quantitative methods as needed.
• Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, model development and evaluation, as well as written and oral delivery of results to business partners.
• Collaborate closely with stakeholders in Product Management, Engineering and Operations teams to define relevant questions, objectives and metrics, identify and implement quantitative methods to answer those questions.
• Develop, own and evolve methodologies and frameworks providing source of truth measures for the organization.
• Establish comprehensive understanding of the production systems, advocate for changes where needed for product development, and build data driven solutions to facilitate the efficiency improvement.

Legal and EEO Information

All job applications are subject to Google’s Applicant and Candidate Privacy Policy. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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