Machine Learning Co-Op (Fall 2026)
Full-time
Job Description 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.
- 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.
- 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.
- Experience with time-series/forecasting, Power BI/DAX, or introductory deep learning/LLMs.
- Familiarity with version control (Git/GitHub) and basic cloud data tools.
Vacancy posted 5 days ago
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