Industrial IoT & Data Analytics Engineer

Mars, Incorporated and its Affiliates

Columbus (OH)

On-site

USD 45,460 - 49,593

Full time

14 days+

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Benefits offered by this job

Medical, Vision, Dental
401(k) match
Vacation
Tuition reimbursement
Short/Long-Term Disability
Parental leave

Job summary

Mars Petcare is seeking a Digital Innovation Engineer in Columbus, OH to drive digital modernization of manufacturing processes. You will lead the implementation of MES, visualization tools, IoT devices, and data analytics to boost efficiency and quality across production lines.

Ideal candidates will have 3+ years implementing digital solutions, a strong automation/data analytics background, and project management experience. Role requires English proficiency and on-site work.

Qualifications

  • Bachelor's degree or higher in IT/CS/Engineering or related field.
  • 3+ years of experience implementing digital solutions.
  • Strong understanding of automation and data analytics.

Responsibilities

  • Collaborate with cross-functional teams to understand processes and identify digital transformation opportunities.
  • Develop implementation plans for MES, visualization software, and IoT solutions.
  • Evaluate and implement digital technologies such as sensors, automation systems, and data analytics tools.
  • Establish data collection and management processes for process optimization.
  • Analyze production data to identify trends and provide data-driven recommendations.
  • Coordinate with IT and engineering to ensure integration with existing systems.
  • Train associates on new digital/manufacturing processes.

Skills

Automation
Data analytics
Project management
Communication

Education

Bachelor's degree in IT/CS/Engineering

Tools

MS Office
Email

Job description

Mars Petcare is seeking a Digital Innovation Engineer in Columbus, OH to drive digital modernization of manufacturing processes. You will lead the implementation of MES, visualization tools, IoT devices, and data analytics to boost efficiency and quality across production lines.

Ideal candidates will have 3+ years implementing digital solutions, a strong automation/data analytics background, and project management experience. Role requires English proficiency and on-site work.

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