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

$129,200 - $194,750/Yr

Tiktok - Seattle, WA

Full-time - Mid Level

Seattle, WA

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

TikTok is the leading destination for short-form mobile video, and our mission is to inspire creativity and bring joy. As part of the Data-E-commerce-Global Supply Chain and Logistics team, we are dedicated to enhancing clients' shopping experience and reducing operational costs in the supply chain and logistics of TikTok E-commerce. This is achieved by developing end-to-end algorithm capabilities using machine learning, operations research, data mining, and causal inference methods. In this role as a Machine Learning Engineer focused on demand forecasting, you will contribute to the development and implementation of cutting-edge machine learning models and algorithms aimed at optimizing inventory management, improving supply chain efficiency, and enhancing the overall customer experience. You will collaborate with cross-functional teams, including data scientists, engineers, product managers, and business stakeholders, to develop innovative solutions that accurately forecast demand patterns and optimize inventory planning. Your responsibilities will include developing and implementing end-to-end machine learning models for demand forecasting, collecting and preprocessing large-scale datasets, conducting exploratory data analysis, building scalable data pipelines, and monitoring model performance. You will also stay updated with the latest advancements in machine learning and demand forecasting techniques, applying this knowledge to enhance the team's capabilities. Effective communication of findings and insights to both technical and non-technical stakeholders will be crucial in fostering a collaborative and data-driven decision-making culture.

Responsibilities

• 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.

Nice-to-haves

• Experience in the e-commerce, logistics, or supply chain domain is a plus.

Benefits

• 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents.
• Health Savings Account (HSA) with a company match.
• Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans.
• Flexible Spending Account (FSA) Options like Health Care, Limited Purpose and Dependent Care.
• 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) and 10 paid sick days per year.
• 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
• Mental and emotional health benefits through EAP and Lyra.
• 401K company match, gym and cellphone service reimbursements.