Data Science Intern

Our Supply Chain Engineering team collaborates with suppliers across the globe to deliver high quality components for our cloud storage products. We interface with Design Engineering, Materials Planning, and our Factories during the product development phase to ensure components are highly manufacturable with consistent high quality. We are seeking a high energy student pursuing a degree in Data Science or Data Engineering that would like to apply their skills to implement new data workflows, and to use the data to discover insights that help improve designs and processes.

• 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.

• Curious, with interest and success in a technical environment.
• 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.

• Experience, study or projects in the areas of Mathematics, Data Science and Data Engineering.
• Problem solving.
• Project management.
• 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 inFall 2025 classes.

Our Longmont product-design campus is nestled against the foothills with exceptional views of the Rocky Mountains. Here at work, you can grab breakfast and lunch in the on-site cafeteria or get an afternoon espresso, prepared by a professional barista. Our 600+ employees enjoy an active on-site experience from sporting activities (get in a few laps at lunch on our 1-mile walking path around campus, play ping-pong or volleyball, or stop in our 24- hour fitness center for a group or individual workout). We also offer opportunities for community service and participation in various employee resource groups.

Colorado's 2021 Equal Pay for Equal Work Act (SB 19-085) requires we inform you of the estimated base salary range for this position: $20 - $30/hr. Actual salary range is based on fair market value of the role in the geography in which you live based on the requirements of the job and your skills. This posted salary range is a good faith and reasonable estimate, and Seagate reserves the right to adjust this range depending on the qualifications of the selected candidate.

Seagate offers comprehensive benefits to its eligible employees; including, but not limited to, medical, dental, vision and 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 and paid parental leave.

Location: Longmont, United States

Travel: None