On-Site Data Scientist: Production Optimization & ML

Agri Beef; Boise (ID); On-site; USD 120,000 - 160,000; Full time

Job summary

Agri Beef seeks a Data Scientist on-site in Idaho to advance optimization and predictive models guiding production planning, product allocation and scheduling. You will partner with BI, engineering, plant and sales to translate constraints and domain knowledge into trusted models used daily in operations.

You will deploy models, monitor performance, and present insights to executives, aiming to improve margin, yield and customer outcomes while maintaining data security and reproducibility.

Qualifications

• Formulate, build and maintain mathematical optimization models for production planning and scheduling.
• Validate models against historical operations using replay and simulation tools.
• Deploy models into production with monitoring and retraining.
• Identify problems where optimization, forecasting or classification can improve margins and yields.
• Design and validate statistical and machine learning models from enterprise data.
• Communicate findings clearly to non-technical audiences.
• Collaborate as a liaison for external research partnerships and ensure data reproducibility.

Responsibilities

• Formulate and maintain optimization models for production planning.
• Validate models with historical data and simulations.
• Deploy models in production with monitoring and retraining.
• Work with leaders to identify optimization opportunities.
• Develop statistical and ML models from warehouse data.
• Present results to executives with clear visuals.
• Collaborate with external researchers and ensure data security.

Skills

Mathematical optimization

Predictive modeling

Python

SQL

Model deployment

Data visualization

Tools

Gurobi

CPLEX

HiGHS

OR-Tools

Pyomo

Power BI

Job description

Agri Beef seeks a Data Scientist on-site in Idaho to advance optimization and predictive models guiding production planning, product allocation and scheduling. You will partner with BI, engineering, plant and sales to translate constraints and domain knowledge into trusted models used daily in operations.

You will deploy models, monitor performance, and present insights to executives, aiming to improve margin, yield and customer outcomes while maintaining data security and reproducibility.