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# Principal Data Scientist

- **Company:** o9 Solutions
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $161,000.0 - $222,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Artificial Neural Networks, Microsoft Azure, Information Engineering, Graph Database, Python (Programming Language), Machine Learning, Tensorflow, SQL Databases, Pytorch, Snowflake, Apache Spark, Scikit Learn, Information Technology, Data Analytics, Data Management, Network Optimization, Databricks
- **Published:** October 8, 2026
- **Apply:** https://www.builtincolorado.com/auth/login?destination=/job/principal-data-scientist/11596652

## About the Role

* Experience: 8+ years of experience in Data Science and Analytics with a proven track record as a technical lead delivering customer-facing solutions.
 * Education: Master's or Ph.D. preferred (or Bachelor's with equivalent experience) in Operations Research, Computer Science, Statistics, Data Analytics, Engineering, or Supply Chain.
 * Domain Expertise: Deep knowledge of applied machine learning in supply chain planning (e.g., demand planning, price/assortment optimization, inventory management, or network optimization).
 * Technical Stack:
 + Advanced proficiency in Python and SQL.
 + Modern ML/DL frameworks (PyTorch, TensorFlow, Scikit-Learn).
 + Scaled data platforms (Databricks, Snowflake, Spark, AWS/GCP/Azure).
 + Expertise in time-series analysis, mathematical optimization, ensemble methods, and neural networks.
 * Communication: Exceptional storytelling and stakeholder management skills; ability to articulate complex mathematical concepts to business executives.

## Description

* Technical Leadership & Delivery: Lead the end-to-end discovery, architectural design, prototyping, testing, and deployment of enterprise-grade AI/ML models (e.g., demand sensing, stochastic modeling, inventory and revenue optimization).
 * Strategic Client Partnership: Work directly with enterprise clients, solution architects, and executive stakeholders to translate complex supply chain challenges into high-value machine learning solutions.
 * Team Development: Mentor and guide cross-functional teams of data scientists and analytics consultants, maintaining high coding standards, modular design, and MLOps best practices.
 * AI Innovation: Leverage the latest advancements in GenAI, deep learning, time-series forecasting, and mathematical optimization to drive continuous product and client success.
 * Cross-Functional Collaboration: Partner with data engineering and project management teams to integrate custom analytical models seamlessly into the o9 Enterprise Knowledge Graph platform.