Data Scientist II, Field Telemetry

About our group:

We are part of the Advanced Reliability group within the Product Assurance Engineering organization. The Advanced Reliability group plays a key role in protecting our customers and company by pursuing test and field software solutions, field analytics, and technology staging. Under this umbrella, the Analytics team makes key contributions by accelerating learning cycles during the product launch phase, closing the feedback loop using field telemetry data, and supporting key customers with log-based fleet health management innovations.

About the role - you will:

• Designs, develops, and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources.
• Generates actionable insights and solutions for client services and product enhancement.
• Interacts with product and service teams to identify questions and issues for data analysis and experiments.
• Develops and codes software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources.
• Identifies meaningful insights from large data and metadata sources.
• Interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
• This is a product engineering role in which employees work with multiple types of business data.
• May be internal operations-focused or external client-focused, working in conjunction with Professional Services and outsourcing functions.

About you:

• You are driven to understand how cloud storage providers use our products and how data can reveal opportunities to improve their experience.
• You communicate clearly and effectively with global teams, both in writing and in conversations.
• You are skilled at gathering, cleaning, and analyzing data from diverse sources.
• You look beyond patterns to understand the underlying drivers behind data behavior.
• You regularly apply statistical methods to derive insights and test hypotheses.
• You have familiarity with reliability modeling approaches, such as Weibull analysis.
• You translate data into clear, actionable recommendations that guide decisions.

Your experience includes:

• Bachelor's Degree in Computer Science or Mechanical or Electrical Engineering or related field, and 2+ years of experience, or Master’s degree in Computer Science or Mechanical or Electrical Engineering or related field and 0+ years of experience or equivalent education and experience.
• Understanding of HDD subsystems and how they interact, with failure analysis experience considered a plus.
• Strong background in data analysis, particularly with large datasets.
• Ability to assemble, process, and visualize data using Python, SAS JMP, SQL, or JavaScript.
• Familiarity with Seagate's internal data storage tools, locations, and infrastructure.

You might also have:

• Experience guiding cross-functional technical experts to collaborate and reach consensus.
• Experience in customer technical communication and issue resolution.

The estimated base salary range for this position is $80,766.40 - $115,498.24. 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 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 position is an onsite role and can be based out of our Shakopee, MN or Longmont, CO campus. 

Our Shakopee campus is located 25 minutes southwest of Minneapolis in a setting with a rural vibe – it overlooks a horse racing track and stables, yet it has great entertainment venues close by as well. With wide-open spaces, the campus has plenty of space for running, biking, shooting some hoops or playing volleyball over lunch. If working out is your thing, the on-site fully equipped fitness center hosts wellness programs, tournaments, and group workouts. Hungry? Seagate offers an on-site café with freshly sourced foods and specialty coffees, or if you prefer, drive to one of many restaurants just minutes away.

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 1,500+ 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) to community service and many employee resource groups including Pride! Women’s Leadership Network and a Young Professionals Network.

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