Senior leader with extensive experience leading applied science initiatives at scale. Expert in building high-performing teams, driving data-driven decision making, and delivering transformative AI/ML solutions that impact millions of users.
JAMES NORDLUND
SENIOR LEADER, SCIENCE AND MLE
;; ABOUT
;; PUBLIC PROJECTS
causers:
Python library for econometrics on Polars dataframes; fast backend in Rust
materials:
Claude Code plugin for materials science with Materials Project MCP and 15+ skills
System2:
Claude Code plugin with 13 agents and 5 gates for spec-driven development
;; PROFESSIONAL EXPERIENCE
Head of Applied Science and MLE (Worldwide Sustainability Science and Innovation)
Amazon
2026 - Present
- Lead an organization of applied scientists and machine learning engineers
- Developed physical AI systems for materials science
- Created agentic systems for third-party clients
Head of Causal and Forecasting Science (Worldwide Pricing and Promotions)
Amazon
2024 - 2026
- Set long-term business vision for cross-functional projects that span product, science, and engineering
- Architected and executed ML strategy for $10B+ sized businesses
- Mentored science leaders and established best practices
Senior Economist, Technical Lead (Worldwide Pricing and Promotions)
Amazon
2022 - 2024
- Defined new distributional pricing theory for improved business logic under uncertainty, shifting the multi-year roadmap for 30+ scientists
- Designed SOTA algorithms for causal matching in high-dimensional spaces on big data
- Created causal forecasting models for heterogeneous intertemporal effects
Director of FinTech Innovations Lab
LSU
2017 - 2022
- Oversaw international recruiting of Ph.D. students and advised doctoral research projects
- Designed, built, and administered a local compute server for JupyterHub and RStudio
- Developed data-driven insights using topic modeling, spectral clustering, and NLP
Research Scientist and Technical Lead
Texas A&M University
2011 - 2017
- Owned the migration of existing research resources to a new HPC cluster
- Developed statistical/mathematical models in R, Python, Stata, SAS, and Matlab
;; TECHNICAL EXPERTISE
Languages:
Python, SAS, Stata, SQL
ML/AI:
EMR, PyTorch, Sagemaker, Scikit-learn, Spark MLlib, XGBoost
Infrastructure:
AWS, EC2, Docker, GCP
Data:
Spark, Redshift
Tools:
CI/CD, Git, Jupyter, Linux
;; EDUCATION
Ph.D. in Financial Economics
Texas A&M University
B.A. in Mathematics
Trinity University