IT Data Scientist

Agri Beef; Boise (ID); Presencial; USD 120.000 - 160.000; Jornada completa

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Mathematical optimization

Predictive modeling

Python

SQL

Model deployment

Data visualization

Herramientas

Gurobi

CPLEX

HiGHS

OR-Tools

Pyomo

Power BI

Descripción del empleo

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
This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.