1 day ago

Data Scientist (Money Platform) - TikTok

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Use data science to improve TikTok’s Money Platform across payment and monetization experiences. Analyze user transactions, content commercialization, creator and agency monetization, and user asset management. Build metrics frameworks to monitor product health and diagnose metric shifts, and run scientific evaluations using A/B testing and causal inference. Partner with PM/RD to drive product and strategy improvements, while advancing data science methods, analysis efficiency, and data product tools.

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Conduct data analysis for payment-related business areas including user transaction experience, monetization, and user asset management.
•Design metrics frameworks to measure product health and track core metrics to identify root causes of metric movement.
•Perform scientific evaluation using statistical methods, including A/B testing and causal inference.
•Identify growth opportunities through data analytics and drive business decisions in partnership with PM/RD.
•Research data science theories and methodologies to improve analysis efficiency and data product tools.

Key Requirements

•Bachelor’s degree with 4+ years of related work experience.
•Expertise in SQL and programming in Python or R.
•Familiarity with A/B testing and product analysis.
•Strong analytical and causal reasoning with rigor on statistical correctness.
•Strong communication skills and passion for product challenges.

Experience:4+ years

Education:Bachelor's

Skills:Analytical reasoningCausal reasoningStatistical rigorCommunicationProduct mindset

Tech Stack:SQLPythonRA/B testingMachine learningBig dataStatistical methodsCausal inference

Company Brief

TikTok

Short-form video platform that lets users create, share, and discover entertainment content through algorithmic recommendations. It also offers advertising and creator tools for brands, influencers, and businesses.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn

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TikTok

1 day ago

Data Scientist (Money Platform) - TikTok

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Conduct data analysis for payment-related business areas including user transaction experience, monetization, and user asset management.
•Design metrics frameworks to measure product health and track core metrics to identify root causes of metric movement.
•Perform scientific evaluation using statistical methods, including A/B testing and causal inference.
•Identify growth opportunities through data analytics and drive business decisions in partnership with PM/RD.
•Research data science theories and methodologies to improve analysis efficiency and data product tools.

Key Requirements

•Bachelor’s degree with 4+ years of related work experience.
•Expertise in SQL and programming in Python or R.
•Familiarity with A/B testing and product analysis.
•Strong analytical and causal reasoning with rigor on statistical correctness.
•Strong communication skills and passion for product challenges.

Experience:4+ years

Education:Bachelor's

Skills:Analytical reasoningCausal reasoningStatistical rigorCommunicationProduct mindset

Tech Stack:SQLPythonRA/B testingMachine learningBig dataStatistical methodsCausal inference

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn