Curriculum Vitae

Jintao Li
Data Science Manager · Singapore
Email · LinkedIn

Professional Summary

Data science manager with a Ph.D. background and experience in applied machine learning, forecasting, optimization, and decision-support systems. I lead six data scientists at Ocean Network Express and remain hands-on in analytical design, validation, and production delivery on Google Cloud.

Professional Experience

Manager / Digital Solution Unit Lead

Ocean Network Express · Singapore
May 2025 to Present

Leading six data scientists delivering decision-support tools for network planning, cost optimization, and container flow management.

• Define analytical strategy, project scope, and success metrics for planning problems with competing operational constraints.

• Guide technical approaches and review solutions for robustness, scalability, and business relevance.

• Lead and mentor a team of six data scientists, with ownership of prioritization, roadmaps, and delivery.

• Build cloud-native supply chain decision-support tools from business discovery and Python/SQL implementation through GCP deployment, validation, and iteration.

• Work directly with operations, planning, product, and IT stakeholders across regions, translating practical workflows into engineering requirements.

Assistant Manager, Applied Data Scientist

Ocean Network Express · Tokyo, Japan
Dec 2022 to May 2025

Owned forecasting, optimization, and production decision-support systems for global shipping operations.

• Designed forecasting and optimization pipelines to support planning under demand uncertainty and changing business rules.

• Translated business questions into modeling objectives, operational constraints, and evaluation criteria.

• Built scenario-based decision frameworks to assess cost, service, and operational trade-offs before execution.

Data Scientist

CTW Inc. · Tokyo, Japan
Apr 2022 to Aug 2022

Built data pipelines and monitoring dashboards to support operational visibility and performance tracking.

• Converted manual reporting workflows into repeatable analytics processes.

• Developed dashboards and data workflows to make operational performance easier to monitor.

Selected Work

• Production forecasting for container flows: Developed and operated cloud-based container movement and return forecasting workflows, connecting Python models and historical data to recurring planning outputs.

• Lower operating costs through decision systems: Developed analytical workflows for equipment repositioning, transport and storage costs, and scenario comparison to support operational planning decisions.

• End-to-end cloud engineering for internal users: Delivered internal analytics tools from user discovery to data integration, cloud deployment, validation, and iteration, primarily on GCP with additional AWS-based experience.

Read more about selected projects.

Technical Expertise

• Data science: Time series forecasting, regression, optimization, simulation, scenario analysis, model validation.
• Programming and machine learning: Python, C++, SQL, Pandas, NumPy, scikit-learn, PyTorch, TensorFlow.
• Cloud and engineering: Google Cloud, BigQuery, Cloud Run, AWS, Git, Linux, production workflows.
• Leadership: Technical strategy, code and model review, mentoring, delivery planning, stakeholder alignment.

Education

Ph.D. in Chemical Engineering

Kyoto University · Apr 2019 – Mar 2022
Computational modeling, stochastic dynamics, and collective behavior in complex systems.

M.Sc. in Chemical and Biomolecular Engineering

Hong Kong University of Science and Technology · Sep 2017 – Nov 2018
Thermodynamic modeling of aqueous electrolyte solutions.

B.Eng. in Chemical Engineering and Technology

Southwest Petroleum University · Sep 2013 – Jun 2017
Process systems engineering and optimization.

Visiting Researcher, University of Tokyo · Jul 2021 to Sep 2021
Research on non-equilibrium statistical physics and pattern formation.

Selected Publications

• Li, J. et al. Competition between Cell Types under Cell Cycle Regulation with Apoptosis. Physical Review Research, 2022.
• Li, J. et al. Role of the Cell Cycle in Collective Cell Dynamics. Physical Review X, 2021.
• Wang, J., Li, J. et al. Ion-specific electrolyte thermodynamic modeling. Fluid Phase Equilibria, 2020.

More research and publications.

Languages

• Chinese — native Mandarin

• English — full professional proficiency

• Japanese — conversational; JLPT N2