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

Responsibilities

• Data-E-commerce-Global Supply Chain and Logistics team:
• Our team is dedicated to enhancing clients' shopping experience and reducing operational costs in the supply chain and logistics of TikTok E-commerce by developing end-to-end algorithm capabilities using machine learning, operations research, data mining, and causal inference methods.
• Role Overview:
• Develop and implement end to end machine learning models and algorithms for demand forecasting in the context of TikTok's global e-commerce supply chain and logistics operations.
• Collect, clean, and preprocess large-scale data sets to ensure data quality and suitability for forecasting purposes.
• Collaborate with data scientists and domain experts to understand business requirements, identify key demand drivers, and incorporate relevant features into forecasting models.
• Conduct exploratory data analysis to gain insights into demand patterns, trends, and seasonality factors that influence purchasing behavior.
• Build scalable and efficient data pipelines to automate data preprocessing, model training, and prediction processes.
• Evaluate and optimize the performance of existing time series forecasting models, and propose enhancements or alternative approaches to improve accuracy and robustness.
• Collaborate with software engineers to integrate machine learning models into production systems and ensure reliable and timely delivery of forecasts.
• Monitor model performance, identify anomalies, and develop proactive measures to address potential forecast errors or biases.
• Stay up to date with the latest advancements in machine learning, demand forecasting techniques, and related domains, and apply this knowledge to enhance the team's capabilities.
• Communicate findings, insights, and technical concepts effectively to both technical and non-technical stakeholders, fostering a collaborative and data-driven decision-making culture.

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, with a focus on demand forecasting and supply chain optimization.
• Strong proficiency in machine learning techniques, including time series forecasting, regression, classification, and clustering.
• Familiarity with processing big data on cloud platforms (e.g. pyspark) and deploying machine learning models at scale.
• Strong analytical and problem-solving abilities, with a track record of delivering practical and impactful solutions in a fast-paced environment.
• Excellent communication skills, with the ability to collaborate effectively with cross-functional teams and convey complex technical concepts to non-technical stakeholders.
• Experience in the e-commerce, logistics, or supply chain domain is a plus.
• Demonstrated ability to work independently, prioritize tasks, and manage multiple projects simultaneously.
• Job Information
• [For Pay Transparency] Compensation Description (annually)
• The base salary range for this position in the selected city is $150000 - $387600 annually.

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at TikTok? Share your experience