9 hours ago

TikTok Local Services - Data Scientist - Singapore

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Build and improve operational data infrastructure for TikTok Local Services, including matching, transaction pipelines, and search/recommendation modules. Analyze how operational activities impact transaction conversion rates, using scientific methods to quantify contribution to improvements. Monitor key metrics, diagnose fluctuations, and propose optimization recommendations. Partner with business teams through regular analysis reporting to identify growth opportunities.

Location: Singapore

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build and improve operational data infrastructure for TikTok Local Services, including online/offline activities, matching, transactions, search/recommendation, traffic and supply monitoring.
•Assess how operational activities affect transaction conversion rates and quantify each activity’s contribution to improvements.
•Monitor key metrics, identify reasons for metric fluctuations, and provide optimization and improvement suggestions.
•Produce regular analysis reports and proactively support the business in identifying growth opportunities.
•Ensure data accuracy and alignment with business scenarios.

Key Requirements

•Bachelor’s degree or higher with over 3 years of work experience.
•Background in data-related fields such as statistics, computer science, or quantitative analysis.
•Experience in model development (e.g., causal inference, data mining).
•Strong curiosity and ability to translate business needs and logic into data-driven problems.
•Excellent communication and coordination skills to collaborate across departments.

Experience:3+ years

Education:Bachelor's

Skills:CuriosityProactive problem-solvingCommunicationCoordinationOwnershipTeamwork

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

9 hours ago

TikTok Local Services - Data Scientist - Singapore

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Location: Singapore

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build and improve operational data infrastructure for TikTok Local Services, including online/offline activities, matching, transactions, search/recommendation, traffic and supply monitoring.
•Assess how operational activities affect transaction conversion rates and quantify each activity’s contribution to improvements.
•Monitor key metrics, identify reasons for metric fluctuations, and provide optimization and improvement suggestions.
•Produce regular analysis reports and proactively support the business in identifying growth opportunities.
•Ensure data accuracy and alignment with business scenarios.

Key Requirements

•Bachelor’s degree or higher with over 3 years of work experience.
•Background in data-related fields such as statistics, computer science, or quantitative analysis.
•Experience in model development (e.g., causal inference, data mining).
•Strong curiosity and ability to translate business needs and logic into data-driven problems.
•Excellent communication and coordination skills to collaborate across departments.

Experience:3+ years

Education:Bachelor's

Skills:CuriosityProactive problem-solvingCommunicationCoordinationOwnershipTeamwork

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn