Machine Learning Engineer - Demand Forecasting (TikTok Global E-commerce Supply Chain and Logistics)

TikTok
San Jose
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: mastersSkills: ["Analytical thinking","Problem-solving","Communication","Cross-functional collaboration","Independent work"]

Build and deploy end-to-end machine learning solutions for demand forecasting across TikTok’s global e-commerce supply chain and logistics. You’ll collect and preprocess large-scale datasets, identify demand drivers, run exploratory data analysis, and improve time-series forecasting models for accuracy and robustness. Work with data scientists, engineers, product managers, and stakeholders to integrate models into production systems, monitor performance, and communicate insights to enable better inventory planning and customer experience.

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FursaFursa
TikTok
TikTok
1 month ago

Machine Learning Engineer - Demand Forecasting (TikTok Global E-commerce Supply Chain and Logistics)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

Build and deploy end-to-end machine learning solutions for demand forecasting across TikTok’s global e-commerce supply chain and logistics. You’ll collect and preprocess large-scale datasets, identify demand drivers, run exploratory data analysis, and improve time-series forecasting models for accuracy and robustness. Work with data scientists, engineers, product managers, and stakeholders to integrate models into production systems, monitor performance, and communicate insights to enable better inventory planning and customer experience.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Develop and implement end-to-end machine learning models and algorithms for demand forecasting in TikTok’s e-commerce supply chain and logistics context.
  • •Collect, clean, and preprocess large-scale datasets to support forecasting.
  • •Partner with data scientists and domain experts to identify demand drivers and incorporate relevant features into forecasting models.
  • •Build scalable data pipelines for automated preprocessing, model training, and prediction workflows.
  • •Evaluate, optimize, and monitor forecasting model performance; integrate models into production systems and communicate results to technical and non-technical stakeholders.

Key Requirements

  • •Master’s or advanced degree in Computer Science, Machine Learning, Statistics, or a related field.
  • •Proven experience as a Machine Learning Engineer or Data Scientist focused on demand forecasting and supply chain optimization.
  • •Strong proficiency in machine learning techniques such as time series forecasting, regression, classification, and clustering.
  • •Experience processing big data on cloud platforms (e.g., PySpark) and deploying machine learning models at scale.
Experience:E-commerceLogisticsSupply chainDemand forecastingData mining
Education:Master's
Skills:Analytical thinkingProblem-solvingCommunicationCross-functional collaborationIndependent work
Tech Stack:PySpark

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
WebsiteLinkedIn