Associate Data Scientist

Leprino Foods Company•Denver, CO

3d•$90,000 - $102,000

About The Position

Within our Corporate Continuous Improvement and Machine Learning team located in Denver – Leprino is seeking an Associate Data Scientist to analyze manufacturing data and support analytics that improve how our plants operate. This role focuses on practical data science, model support, and translating complex production data into insights that help teams improve efficiency, quality, and reliability across our manufacturing network. At Leprino, starting compensation for this role typically ranges between $90,000 and $102,000. This position has an annual target bonus of 5%.

Requirements

A Bachelor’s Degree in Data Science, Computer Science, Industrial Engineering, Statistics, or a related field.
One to three years of relevant experience, including internships, co-ops, or applied academic projects.
Working knowledge of Python used for data analysis, scripting, and model development.
Experience using Python data libraries such as Pandas or NumPy for data preparation and analysis.
Basic SQL skills used to extract and organize datasets for analysis.
Exposure to data visualization tools such as Matplotlib, Seaborn, or Power BI.
A foundational understanding of statistics and machine learning concepts used in applied analytics.
The ability to travel internationally for production or customer visits when needed.

Nice To Haves

A Master’s Degree in Data Science, Computer Science, Industrial Engineering, Statistics, or a related field.
Experience analyzing operational data within a manufacturing company.
Familiarity with manufacturing systems such as MES or industrial data historians.
Experience building dashboards or visual analytics that help operations teams understand production performance.

Responsibilities

Collect and prepare manufacturing data from MES, SAP, and historian systems for analysis.
Clean, transform, and validate datasets so engineers and analysts can trust the information.
Explore production data to uncover patterns, trends, and unusual process signals.
Build clear dashboards and visual summaries that help teams understand manufacturing performance.
Write Python scripts to analyze operational data and support model development.
Apply statistical and machine learning methods to support quality monitoring and process improvement.
Support the testing and refinement of predictive models used across production environments.
Work closely with colleagues in operations, maintenance, controls, and data teams to clarify analytical needs.
Translate complex findings into practical insights that plant teams can apply quickly.
Document data definitions, analytical assumptions, and model outputs so knowledge remains accessible.
Contribute to improvement efforts that strengthen manufacturing efficiency and product quality.
Grow your data science capabilities through coaching, hands-on projects, and collaboration across the organization.