Machine Learning Co-Op (Fall 2027)

Hendrickson; Canton (OH); On-site; USD 60,000 - 90,000; Part time

Job summary

Hendrickson is seeking an entry-level data-focused role in Canton, OH. You will help define problems with stakeholders, build clean datasets using Python and SQL, and deliver dashboards and ML prototypes to support decision making.

The position emphasizes clear communication, documentation, and reproducible workflows, with opportunities to prototype models and contribute across projects in a collaborative environment.

Qualifications

• Working toward a bachelor's degree in a major related to machine learning (e.g. computer science, statistics, mathematics, engineering, or a closely related field).
• Strong communicator and facilitator; comfortable writing clear docs.
• Familiar with Python and SQL; solid grasp of basic statistics and model evaluation.

Responsibilities

• Run discovery (interviews, process mapping) and translate findings into clear requirements.
• Build and maintain clean datasets with SQL/Python; create visuals/dashboards (e.g., Power BI).
• Prototype and evaluate predictive/time-series models; document methods and results.
• Demo work, gather feedback, iterate, and prepare simple handoffs for reuse.
• Perform other duties as assigned.

Skills

Python

SQL

Data visualization

Statistics

Communication

Project management

Education

Bachelor's degree in related field

Tools

Power BI

Git/GitHub

Job description

• Partner with stakeholders to define problems, requirements, and success metrics (KPIs).
• Deliver reliable datasets, analyses, dashboards, and ML prototypes that address those needs.
• Communicate progress, risks, and results clearly to technical and non-technical audiences.
• Maintain data quality, documentation, and reproducibility standards.

Area Of Accountability

• Partner with stakeholders to define problems, requirements, and success metrics (KPIs).
• Deliver reliable datasets, analyses, dashboards, and ML prototypes that address those needs.
• Communicate progress, risks, and results clearly to technical and non-technical audiences.
• Maintain data quality, documentation, and reproducibility standards.

Major Responsibilities (may Vary Depending On Project)

• Run discovery (interviews, process mapping) and translate findings into clear requirements.
• Build and maintain clean datasets with SQL/Python; create visuals/dashboards (e.g., Power BI).
• Prototype and evaluate predictive/time-series models; document methods and results.
• Demo work, gather feedback, iterate, and prepare simple handoffs for reuse.
• Perform other duties as assigned.

Minimum Qualifications

• Working toward a bachelor's degree in a major related to machine learning (e.g. computer science, statistics, mathematics, engineering, or a closely related field).
• Strong communicator and facilitator; comfortable writing clear docs.
• Familiar with Python and SQL; solid grasp of basic statistics and model evaluation.
• Organized, curious, and able to manage multiple projects and deadlines.

Nice To Have

• Experience with time-series/forecasting, Power BI/DAX, or introductory deep learning/LLMs.
• Familiarity with version control (Git/GitHub) and basic cloud data tools.

We are an Equal Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or other characteristics protected by law.

, We offer a full complement of benefits that include medical, dental, and vision insurance; life, travel, and disability insurance; a flexible spending account; 401K plans; a pension plan; paid holidays and vacation. We also offer financial assistance programs if you decide to adopt a child or want to pursue further education. We have a comprehensive wellness program and an Employee Assistance Program, that supports individuals in the proactive management of their overall health and wellness.