Data Scientist Intern: Digital Twin & AI Explorer

MiTek Industries

Earth City (MO)

On-site

USD 243,000 - 303,000

Full time

14 days+
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Benefits offered by this job

Paid Time Off
13 holidays a year
Volunteer time off
Day One Medical/Rx, Dental and Vision

Job summary

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

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

C#
.NET
SQL
Python
OO Design
Digital Twin
AI/ML concepts
Problem-solving
Teamwork

Education

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

Tools

Power BI
Tableau

Job description

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

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