Principal Data Scientist

The Principal Data Scientist role at o9 Solutions is an onsite position in Dallas, TX, focused on leading enterprise customer implementations for forecasting and demand sensing AI/ML solutions. The position combines technical leadership across architecture, development, and deployment with close collaboration across client and internal teams.

Role Summary

As a Principal Supply Chain Data Scientist, you will guide the delivery of enterprise-grade forecasting and demand sensing algorithms, including technical leadership for solution architecture, model design and development, and deployment. You will work with enterprise customers and cross-functional collaborators to translate complex supply chain challenges into measurable machine learning outcomes.

Key Responsibilities

• Lead end-to-end discovery, architectural design, prototyping, testing, and deployment of enterprise-grade AI/ML models, including demand sensing, stochastic modeling, inventory optimization, and revenue optimization.
• Partner with enterprise clients, solution architects, and executive stakeholders to convert complex supply chain problems into high-value machine learning solutions.
• Mentor and guide cross-functional teams of data scientists and analytics consultants, ensuring high coding standards, modular design, and alignment with MLOps best practices.
• Apply the latest advancements in GenAI, deep learning, time-series forecasting, and mathematical optimization to support continuous product and client success.
• Coordinate with data engineering and project management teams to integrate custom analytical models into the o9 Enterprise Knowledge Graph platform.

Required Qualifications

• 8+ years of experience in Data Science and Analytics, with a proven track record as a technical lead delivering customer-facing solutions.
• Master’s or Ph.D. preferred, or Bachelor’s with equivalent experience, in Operations Research, Computer Science, Statistics, Data Analytics, Engineering, or Supply Chain.
• Deep knowledge of applied machine learning for supply chain planning, including areas such as demand planning, price or assortment optimization, inventory management, or network optimization.
• Advanced proficiency in Python and SQL.
• Experience with modern ML/DL frameworks including PyTorch, TensorFlow, and Scikit-Learn.
• Experience with scaled data platforms such as Databricks, Snowflake, Spark, and AWS, GCP, or Azure.
• Expertise in time-series analysis, mathematical optimization, ensemble methods, and neural networks.
• Strong storytelling and stakeholder management skills, including the ability to communicate complex mathematical concepts to business executives.

Technologies and Tools

• Python, SQL
• PyTorch, TensorFlow, Scikit-Learn
• Databricks, Snowflake, Spark
• AWS, GCP, Azure
• GenAI, deep learning, time-series forecasting, mathematical optimization
• Ensemble methods, neural networks, MLOps
• o9 Enterprise Knowledge Graph

Compensation

Annual salary range: USD 161,304 - 221,792.

Benefits

• Medical benefits
• Retirement benefits
• Other company-sponsored benefits