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I’m Hadi Alizadeh, a Lead Data Scientist with 13+ years of experience building and scaling AI/ML solutions for enterprise systems. I enjoy turning complex data into actionable insights and bridging the gap between cutting-edge AI research and practical, production-ready deployments. I love leading cross-functional teams, designing scalable architectures, and delivering measurable business impact through generative AI, multi-agent orchestration, and robust ML lifecycle processes.…I’m Hadi Alizadeh, a Lead Data Scientist with 13+ years of experience building and scaling AI/ML solutions for enterprise systems. I enjoy turning complex data into actionable insights and bridging the gap between cutting-edge AI research and practical, production-ready deployments. I love leading cross-functional teams, designing scalable architectures, and delivering measurable business impact through generative AI, multi-agent orchestration, and robust ML lifecycle processes.

Hadi Alizadeh

Data Scientist, AI Engineer, AI Developer, +2

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I’m Hadi Alizadeh, a Lead Data Scientist with 13+ years of experience building and scaling AI/ML solutions for enterprise systems. I enjoy turning complex data into actionable insights and bridging the gap between cutting-edge AI research and practical, production-ready deployments. I love leading cross-functional teams, designing scalable architectures, and delivering measurable business impact through generative AI, multi-agent orchestration, and robust ML lifecycle processes.…I’m Hadi Alizadeh, a Lead Data Scientist with 13+ years of experience building and scaling AI/ML solutions for enterprise systems. I enjoy turning complex data into actionable insights and bridging the gap between cutting-edge AI research and practical, production-ready deployments. I love leading cross-functional teams, designing scalable architectures, and delivering measurable business impact through generative AI, multi-agent orchestration, and robust ML lifecycle processes.

Available to hire

I’m Hadi Alizadeh, a Lead Data Scientist with 13+ years of experience building and scaling AI/ML solutions for enterprise systems. I enjoy turning complex data into actionable insights and bridging the gap between cutting-edge AI research and practical, production-ready deployments.

I love leading cross-functional teams, designing scalable architectures, and delivering measurable business impact through generative AI, multi-agent orchestration, and robust ML lifecycle processes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Lead Data Scientist at Nike

July 1, 2023 - November 11, 2025

Lead data pipelines powering forecast and optimization models; contributed to agent-based analytics systems; piloted LLМ orchestration frameworks; defined data architectures, tooling, and governance; mentored junior teams and translated AI concepts into business value.

Senior Data Scientist at Nike

July 1, 2023 - July 1, 2023

Developed scalable models for forecasting and fulfillment; integrated ML systems into real-time pipelines; built features, embeddings, and preprocessing steps; led cross-functional ML initiatives and guided model lifecycle practices.

Senior Operations Research Analyst (Data Scientist) at United States Postal Service

December 1, 2020 - December 1, 2020

Developed ML models for transportation network optimization and demand forecasting; implemented ARIMA and neural-network approaches; built production-grade ML pipelines and dashboards; supported continuous improvement aligned with USPS goals.

Associate Researcher at North Carolina State University

February 1, 2023 - February 1, 2023

Led ML modeling for public health logistics using multi-agent simulation and stochastic optimization; prototyped forecast models and optimization pipelines for state-wide COVID-19 planning; applied evolutionary algorithms; designed experimental pipelines and AI-driven health resource planning models.

Research Assistant at North Carolina State University

February 1, 2018 - February 1, 2018

Conducted PhD optimization research, fuzzy modeling, and decision systems; prototyped location-allocation, risk modeling, and simulation tools in R, Python, and GUROBI; collaborated on data-driven reports and data pipelines to support evidence-based decision making.