About our group:

Seagate is the global leader in data storage solutions, creating innovative products for Enterprise and Cloud Computing, as well as Consumer Electronics applications. Our products enable people and businesses around the world to create, share, and preserve their most critical memories and business data. Seagate has recently been ranked among the Thomson Reuters Top 100 Global Innovators.

Do you have an embedded firmware background? Our group designs, develops, tests, integrates, and supports firmware solutions and products. We work closely with many teams to develop firmware solutions that enable features and functions for new products. The team has deep technical expertise in firmware design and a passion for developing innovative solutions. We are involved in advancing emerging technologies such as HAMR (Heat Assisted Magnetic Recording) and defining the hardware and firmware architecture for the next generation of products.

Our vision is to be the best firmware delivery team with a culture that is:

Growth Mindset – Be insatiably curious
Customer Obsessed – Innovate to meet customer needs
Open and Inclusive – Tap into the global talent pool
One Team – Connected by a single shared mission

About the role - you will:

This position will help accelerate the organization’s AI journey by applying data science expertise to gather, structure, analyze, and interpret engineering data that improves predictability, decision-making, and product outcomes.

Partner with firmware, product, quality, and program teams to identify the right data sources, define meaningful metrics, and convert complex data into actionable insights that enable more predictable execution and delivery.
Develop analytical models, dashboards, and feedback loops that help teams understand trends, risks, dependencies, and leading indicators across the development lifecycle.
The successful candidate will have a strong foundation in data science, statistics, machine learning, data engineering, and analytical problem-solving, with the ability to translate engineering and business questions into measurable insights and practical recommendations.

About you:

We are looking for a self-starter who can apply new knowledge quickly and effectively on the job.
You have strong verbal and technical writing skills and can work independently or as part of a team.
This position offers opportunities to lead small or large sub-projects and interface with product core teams and customer teams.
You enjoy taking ownership of your work and understand that your technical contributions can have a significant impact. You apply systematic design practices and are thorough in your work.

Your experience includes:

Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, Data Science, Statistics, Mathematics, Electrical Engineering, or a related field and 8+ years of experience, or Master’s degree in the same fields and 6+ years of experience, or PhD and 3+ years of experience or equivalent education and experience.
Strong data science background, including statistical analysis, machine learning, data visualization, and experience deriving insights from large and complex data sets.
Experience with Python, SQL, data pipelines, analytics platforms, and visualization tools used to collect, cleanse, model, and communicate engineering data.
Programming experience in C/C++.

The estimated base salary range for this position is $109,400.00 - $159,500.00. The individual salary is based on work location and additional factors, including job-related skills, experience, and relevant education or training.

Seagate offers comprehensive benefits to its eligible employees, including, but not limited to, eligibility to participate in a discretionary bonus program, medical, dental, vision, and life insurance, short- and long-term disability, 401(k), employee stock purchase plan, health savings account, dependent care, and healthcare spending accounts. Seagate also offers paid time off, including 12 holidays, flexible time off provided pursuant to Seagate policy, a minimum of 48 hours of paid sick leave, and 16 weeks of paid parental leave. The benefits for this position are based on a full-time schedule for a full calendar year and may differ depending on work location.

Location:

This role is an on-site position based in Longmont, CO and requires on-site presence five days per week.

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.

Location: Longmont, United States
Travel: Up to 10%

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