Internship in Reliability Data Science
3 days ago
- Data Automation and Flows:
- Create new methods of data automation and flows using Python, Tableau, and other relevant tools.
- Develop procedures and workflows to streamline data analysis and improve efficiency.
- Reliability Statistic Pages:
- Develop code to create live Weibull distribution pages.
- Participate in Root Cause and Corrective Action (RCCA) activities to identify and resolve issues.
- Collaboration and Communication:
- Work closely with reliability engineers to analyze large datasets and design databases.
- Promote effective communication in written and spoken English.
- Pursuing a BS in Data Science is preferred.
- Proficiency in SQL, Python, and Tableau is required.
- Able to exercise sound judgment, professionalism, and maturity in the workplace.
- Effective communicator in both written and spoken English.
- This role offers a unique opportunity to apply data science and statistical analysis skills in the context of engineering reliability and system performance.
- The selected candidate will receive guidance from experienced reliability engineers and participate in collaborative projects.
- The internship provides exposure to aviation/aerospace/telecom data systems and hardware, as well as opportunities for professional growth and development.
This paid internship offers a competitive salary, estimated to be around $25,000 - $30,000 per year, based on industry standards and location. The schedule is 40 hours per week, Monday through Friday, with a hybrid environment requiring minimum 3 days in office location.
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