Heading
Longmont, CO
Internship
Onsite
$20/hr - $30/hr
Intern
Seagate is a data storage and hardware company that offers hard disk drives (HDDs), solid-state drives (SSDs), and other storage solutions. They are seeking a high energy student pursuing a degree in Data Science or Data Engineering to implement new data workflows and use data to discover insights that help improve designs and processes.
Apply NowResponsibilities
- Implement new data workflows and use the data to discover insights that improve designs and processes.
- Have capability in data analysis and machine learning that can be applied to supply chain management.
- Analyze complex datasets, develop predictive models and provide actionable insights.
- Collaborate with cross-functional teams, including design engineering, logistics and IT to understand business needs and translate them into data-driven solutions.
- Design and conduct experiments to test hypotheses and validate models.
- Create and maintain dashboards and reports to communicate findings and track key performance indicators.
Qualification
Required
- Pursuing a degree in Data Science or Data Engineering.
- Experience, study or projects in the areas of Mathematics, Data Science and Data Engineering.
- Capability in data analysis and machine learning that can be applied to supply chain management.
- Analyze complex datasets, develop predictive models and provide actionable insights.
- Collaborate with cross-functional teams, including design engineering, logistics and IT to understand business needs and translate them into data-driven solutions.
- Design and conduct experiments to test hypotheses and validate models.
- Create and maintain dashboards and reports to communicate findings and track key performance indicators.
- Ability to learn and apply design of experiments methodologies.
- Ability to learn and understand statistical process controls.
- Good project management skills.
- Commitment for completing projects on time.
- Able to write engineering reports and deliver presentations.
- Excellent organizational skills with the ability to balance multiple demands and thrive in a collaborative and fast paced environment.
- Self-motivated, can work with a team but also independently to achieve goals.
- Proficient with Microsoft Tech Suite (Word, Excel, Powerpoint etc.).
- Experience with Python (specifically data-oriented packages like Pandas, Numpy, Sklearn, Keras, etc.).
- Experience with version control software such as Git/Github.
- Familiarity with machine learning techniques including both classic statistical approaches and neural networks.
- Must be enrolled in a bachelor's-level computer science, mathematics, or data science degree and enrolled in Fall 2025 classes.
Preferred
Benefits
- Medical
- Dental
- Vision
- Life insurance
- Short- and long-term disability
- Annual variable pay bonus
- 401(k)
- Employee stock purchase plan
- Flexible and dependent care spending accounts
- Health care spending account
- Flexible time off/vacation
- Paid holidays
- Paid parental leave