Data Scientist Intern: Digital Twin & AI Explorer

MiTek Industries; Earth City (MO); Híbrido; USD 243.000 - 303.000; Tempo integral

Benefícios oferecidos por esta vaga

Paid Time Off

13 holidays a year

Volunteer time off

Day One Medical/Rx, Dental and Vision

Resumo da vaga

MiTek Industries offers a paid, 12-week internship from May 17 to August 6, designed for students nearing degree completion. Interns are paired with a Manager and Mentor, work on impactful projects, and present outcomes at program end.

The hybrid environment supports innovation and inclusivity, with a $6,000 stipend to assist housing and travel. The role contributes to MiTek's Digital Thread strategy, building a scalable data foundation connecting operational, electrical, software, and

Qualificações

• Pursuing a bachelor’s degree in CS/Engineering with Data Science/Analytics focus; graduation Fall 2027 or Spring 2028.
• GPA 3.0+; eligible for full-time offer.
• Experience or coursework in C#, .NET, SQL, Python and OO design.
• Familiarity with Digital Twin and AI/ML concepts.
• Strong problem-solving and collaborative skills.
• Nice to have Power BI or Tableau experience.

Responsabilidades

• Data Discovery & Mapping of telemetry signals.
• Digital Twin Enhancement and asset hierarchy support.
• Analytics & ML Exploration for KPIs and predictive maintenance.
• Reporting & Visualization with dashboards and executive summaries.

Conhecimentos

C#

.NET

SQL

Python

OO Design

Digital Twin

AI/ML concepts

Problem-solving

Teamwork

Formação

B.S. in CS/Engineering with Data Science/Analytics focus

Ferramentas

Power BI

Tableau

Descrição da vaga

MiTek Industries offers a paid, 12-week internship from May 17 to August 6, designed for students nearing degree completion. Interns are paired with a Manager and Mentor, work on impactful projects, and present outcomes at program end.

The hybrid environment supports innovation and inclusivity, with a $6,000 stipend to assist housing and travel. The role contributes to MiTek's Digital Thread strategy, building a scalable data foundation connecting operational, electrical, software, and