2 days ago

Data Scientist - Platform Infrastructure

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Work with the Global Brand Data Science team to scale a marketing measurement data platform and build reliable, unified data infrastructure for global campaign experimentation. Design and manage end-to-end ETL pipelines, core data models, and analytical schemas, and establish tracking and data linkage foundations (exposure tracking, identity resolution, URL parameters). Ensure data quality, reliability, and governance, and develop internal tools, dashboards, and data services while partnering with cross-functional stakeholders.

Location: Los Angeles

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Scale a marketing measurement data platform by building reliable, scalable, unified data infrastructure for global campaign experimentation and measurement.
•Design, build, and manage end-to-end ETL pipelines to transform ads, creative, and user interaction data into analysis-ready datasets.
•Develop and maintain core data models and analytical schemas, including standardized tables, derived metrics, and reusable data assets for consistent measurement and self-serve analytics.
•Establish robust tracking and data linkage foundations, including exposure tracking logic, identity resolution, and URL parameter frameworks to connect touchpoints to user outcomes.
•Implement data infrastructure governance and resource management (e.g., HDFS/YARN queues), ensuring data quality, reliability, scalability, and building internal tools/dashboards/data services.

Key Requirements

•Master’s degree in a quantitative discipline (Statistics, Mathematics, Computer Science, Engineering, or related).
•3+ years in data science roles within business strategy, marketing, finance, engineering, or analytics organizations.
•Strong expertise in hypothesis testing and A/B testing methodologies.
•Proficiency in SQL and Python or R for data analysis and pipeline development.
•Experience designing, maintaining, and optimizing reporting dashboards and data pipelines.

Experience:3+ yearsMarketingData scienceAnalytics

Education:Master's

Skills:CommunicationStakeholder managementStrategic thinkingProblem-solvingData-driven decision-making

Tech Stack:SQLPythonRETLHDFSYARNA/B testingMachine learningDashboardsIdentity resolutionURL parametersData modelsData pipelines

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

2 days ago

Data Scientist - Platform Infrastructure

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Los Angeles

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Scale a marketing measurement data platform by building reliable, scalable, unified data infrastructure for global campaign experimentation and measurement.
•Design, build, and manage end-to-end ETL pipelines to transform ads, creative, and user interaction data into analysis-ready datasets.
•Develop and maintain core data models and analytical schemas, including standardized tables, derived metrics, and reusable data assets for consistent measurement and self-serve analytics.
•Establish robust tracking and data linkage foundations, including exposure tracking logic, identity resolution, and URL parameter frameworks to connect touchpoints to user outcomes.
•Implement data infrastructure governance and resource management (e.g., HDFS/YARN queues), ensuring data quality, reliability, scalability, and building internal tools/dashboards/data services.

Key Requirements

•Master’s degree in a quantitative discipline (Statistics, Mathematics, Computer Science, Engineering, or related).
•3+ years in data science roles within business strategy, marketing, finance, engineering, or analytics organizations.
•Strong expertise in hypothesis testing and A/B testing methodologies.
•Proficiency in SQL and Python or R for data analysis and pipeline development.
•Experience designing, maintaining, and optimizing reporting dashboards and data pipelines.

Experience:3+ yearsMarketingData scienceAnalytics

Education:Master's

Skills:CommunicationStakeholder managementStrategic thinkingProblem-solvingData-driven decision-making

Tech Stack:SQLPythonRETLHDFSYARNA/B testingMachine learningDashboardsIdentity resolutionURL parametersData modelsData pipelines

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn