IT Data Scientist

Agri-Beef-Co.; Boise (ID); On-site; USD 110,000 - 160,000; Full time

Job summary

Agri-Beef-Co. seeks a Data Scientist on-site in Boise to apply mathematical optimization and predictive modeling to improve business decisions. You will collaborate with BI, developers, and plant and sales leaders to translate constraints and domain knowledge into trusted models used in daily operations.

Responsibilities include building LP/MIP models, validating with historical data, deploying models, and communicating findings to executives and teams.

Qualifications

• Demonstrated experience formulating and solving optimization problems in a production setting, including infeasibility and performance debugging.
• Hands-on experience with solvers and modeling frameworks (Gurobi, CPLEX, HiGHS, OR-Tools, Pyomo).
• Strong foundation in statistics, probability and experimental design, with good judgment on model simplicity.

Responsibilities

• Formulate, build and maintain optimization models (LP, MIP) for production planning, allocation and scheduling.
• Validate models against historical operations using replay and simulation; tune objectives and constraints.
• Deploy models into production with monitoring, retraining and performance tracking.
• Partner with business leaders to identify problems where optimization, forecasting or classification can improve margins.
• Design, build and validate statistical and machine learning models using enterprise data.
• Communicate findings to non-technical audiences through summaries, visualizations and presentations.
• Establish standards for reproducibility, version control, testing and responsible data use.
• Protect data by following security and privacy policies.

Skills

Optimization

Predictive Modeling

Python

SQL

Power BI

CI/CD

Version Control

Data Visualization

LP/MIP

Gurobi

Tools

Gurobi

CPLEX

HiGHS

OR-Tools

Pyomo

Job description

Position Purpose: THIS IS AN ON SITE ROLE, REMOTE OR HYBRID OPPORTUNITIES ARE UNAVAILABLE

The Data Scientist applies mathematical optimization and predictive modeling to improve how Agri Beef makes business decisions. The role identifies decisions that can be made better with data, builds the models to support them, and sees those models through to daily use in operations. It works with the Business Intelligence team, developers and plant and sales leaders to turn business constraints and domain knowledge into models that are adopted and trusted. Success is measured by business outcomes.

Essential Duties and Responsibilities

• Formulate, build and maintain mathematical optimization models (LP, MIP and related methods) for production planning, product allocation and scheduling
• Validate models against historical operations using replay and simulation tooling; tune objectives and constraints with the planning team until results are trusted
• Deploy models into production with the development team, including monitoring, retraining and performance tracking
• Partner with business leaders to identify further problems where optimization, forecasting or classification can improve margin, yield or customer outcomes
• Design, build and validate statistical and machine learning models using data from the enterprise data warehouse and operational systems
• Communicate findings and model behavior clearly to non-technical audiences through written summaries, visualizations and presentations
• Serve as the technical liaison for external research partnerships, translating academic work into models the business can use
• Establish and follow standards for reproducibility, version control, testing and responsible use of data
• Protect company data by following security, access and privacy policies in every project

Preferred Qualifications

• Demonstrated experience formulating and solving optimization problems in a production setting, including infeasibility and performance debugging
• Hands-on experience with commercial or open-source solvers and modeling frameworks (Gurobi, CPLEX, HiGHS, OR-Tools, Pyomo or similar)
• Strong foundation in statistics, probability and experimental design, with the judgment to know when a simple model is the right answer
• Proficiency in Python and advanced SQL; comfortable working directly against a SQL Server data warehouse
• Experience taking models from notebook to production, including CI/CD and source control
• Familiarity with Power BI or similar tools and with tabular semantic models
• Ability to explain technical work plainly to executives, plant leadership and sales teams

Equal Opportunity Employer
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