8 дней назад
Data Analytics Internship (AI)
18 - 28$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Data Analytics Internship (AI) (Microsoft Fabric/Synapse, telemetric data): Building data processing and enrichment pipelines and analyzing telemetric datasets to support engineering, manufacturing, and customer experience decisions with an accent on statistical analysis, data visualization, and AI workflows. Focus on solving analytical problems, responding to ad-hoc data requests, and presenting actionable findings to technical and non-technical stakeholders.
Location: Onsite at Plant 3 in Fond du Lac, Wisconsin, United States. Local travel only. Relocation is available, but applicants must already be authorized to work in the United States.
Salary: $18.00–$27.50 per hour
Company
Mercury Marine, a division of , manufactures marine propulsion systems, engines, electronics, services, and parts for recreational, commercial, and government applications.
What you will do
- Build and maintain data processing and enrichment pipelines using Microsoft Fabric and Synapse.
- Explore telemetric datasets and identify actionable insights for engineering, manufacturing, and customer experience teams.
- Respond to ad-hoc data requests that support day-to-day business decisions.
- Apply statistical methods and research techniques to solve analytical problems.
- Present findings and recommendations through reports and presentations.
Requirements
- Be in the final year of an undergraduate or graduate program in Data Science, Computer Science, Statistics, or a related field.
- Have foundational skills in statistics, programming, database querying, and data visualization.
- Have exposure to AI concepts such as agent building, prompt engineering, or machine learning workflows.
- Be currently authorized to work in the United States; visa sponsorship is not available now or in the future.
- Be available for 20–40 hours per week depending on student availability and workload.
Nice to have
- Experience with Microsoft Fabric, Synapse, or similar cloud data platforms.
- Coursework or projects involving time-series, IoT, or telemetric data.
- Experience communicating technical findings to non-technical audiences.
- Experience building or maintaining agentic AI workflows.
Culture & Benefits
- Hands-on experience applying academic knowledge to real-world projects.
- Supportive and collaborative environment with guidance from experienced professionals.
- Feedback and performance reviews throughout the assignment.
- Opportunities to contribute to projects supporting Mercury Marine’s business goals.
- Growth opportunities across and its brands.
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