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Computer Engineer​/Data Scientist Intern

Job in Westland, Wayne County, Michigan, 48186, USA
Listing for: RippleMatch Inc.
Apprenticeship/Internship position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 33000 - 39000 USD Yearly USD 33000.00 39000.00 YEAR
Job Description & How to Apply Below
Position: Computer Engineer/Data Scientist Intern, 2027 (REQ#43533)

Internship

Job title:

Computer Engineer/ Data Scientist Intern, 2027 Department/Division:
Research & Development / Quality Assurance Hourly Range: $23.60-$28.10

Location:

Ada, MI (Onsite)

* Note:

This position is an office role, and you must be able to report in-person to Ada on Mondays through Thursdays, with Friday as a remote optional day

This team is exploring how AI, data science, and predictive analytics can be used to solve complex quality and sustainability challenges across the business. By combining advanced analytical techniques with real-world data, the team is working to identify patterns, predict potential quality risks, and uncover opportunities to reduce waste and improve outcomes. This role offers a unique opportunity to apply technical skills to an emerging area where data, business strategy, and sustainability intersect.

Interns will have the opportunity to help shape new approaches, work through ambiguous problems, and develop solutions that can create measurable business impact.

How would an intern contribute to the team’s success:

The intern will develop predictive analytics and AI-driven solutions that help identify potential quality issues before they occur. Using manufacturing, operational, and quality datasets, the intern will explore patterns, build predictive models, and develop data-driven insights that support earlier intervention and decision-making.

The intern will also help quantify the business and sustainability impact of these solutions by evaluating reductions in material and packaging waste, estimating environmental benefits, and identifying opportunities for recycling and recovery. This role combines data science, machine learning, statistical modeling, and business storytelling to demonstrate how advanced analytics can drive both operational excellence and sustainability outcomes.

Required skills and background:
  • Desired Major (list all that apply):
  • Computer Engineering

  • Computer Science

  • Data Science

  • Statistics

  • Applied Mathematics

Academic Eligibility:

Undergraduate students who will have completed their freshman, sophomore, junior, or senior year by the start of the internship and will remain academically active through the internship, with an anticipated graduation date between August 2027 and April 2030.

Technical Skills (Platforms, Programs, Tools, etc.):
  • Strong data analysis and statistical modeling skills

  • Experience working with large or complex datasets

  • Proficiency with AI, machine learning, or predictive analytics concepts

  • Experience with programming languages such as Python, R, SQL, or similar analytical tools

  • Ability to analyze data and translate findings into actionable recommendations

  • Data visualization and technical storytelling skills

Soft Skills:
  • Self-motivated and proactive

  • Strong problem-solving and critical-thinking abilities

  • Able to work independently with limited direction

  • Strong written and verbal communication skills

  • Comfortable collaborating across teams and functions

  • Curious, resourceful, and eager to learn

  • Comfortable navigating ambiguity and defining a path forward

Your pay rate within the posted range will be based on your completed class year at the start of the internship program. Amway’s recruiting team will confirm your applicable rate during the recruitment process.

Amway does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need Amway immigration sponsorship (e.g., H-1B, STEM OPT, TN, etc.) now or in the future.

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