Technologist

Job Description

We are seeking a skilled HDD data Analyst to help us leverage data to drive product development and optimization. This role involves analyzing component-level and HDD data to enhance our engineering processes and product performance. The ideal candidate will possess exceptional analytical abilities, a strong understanding of the physics of magnetic recording, and a passion for improving products through data-driven insights. Additionally, you will investigate and understand product issues and build physics-based and machine-learning models to predict and optimize product performance.

ESSENTIAL DUTIES AND RESPONSIBILITIES 

• Data Analysis: Collect, analyze, and interpret data from various sources, including component tests and HDD product evaluations, to identify trends, correlations, and areas for improvement.
• Product Optimization:  Utilize data-driven insights to recommend and implement changes in product design and development, aiming to enhance performance, reliability, and overall quality.
• Investigation: Investigate and diagnose product issues by analyzing data patterns and anomalies and understanding their root causes to inform product improvements.
• Model Building: Develop and implement physics-based models to simulate and predict product behavior and create machine-learning models to enhance predictive accuracy and optimization.
• Collaboration: Work closely with engineering teams to understand product requirements and development challenges, providing data-driven solutions and recommendations.
• Reporting: Develop and present detailed reports and visualizations to communicate findings, trends, and actionable insights to stakeholders at all levels.
• Continuous Improvement: Stay updated with the latest advancements in data analysis, machine learning, and physics-based modeling, applying these techniques to improve product development processes.
• Research: Apply knowledge of the physics of magnetism to interpret data related to magnetic components and systems, ensuring accurate analysis and application in product development.

Qualifications

REQUIRED

• Master’s degree in Data Science, Engineering, Physics, Mathematics, or a related field. Advanced degree preferred.
• Proven experience in HDD or Magnetic Recording data analysis, preferably in a product development or engineering context.
• Experience with magnetic recording and related technologies is a significant advantage.

SKILLS

• Technical Skills: Proficiency in data analysis tools and software (e.g., Python, R, MATLAB, Excel). Experience with machine learning and data visualization methods and tools. Familiarity with physics-based modeling is a plus.
• Analytical Skills: Exceptional ability to analyze complex data sets, identify patterns, and draw meaningful conclusions. Strong problem-solving skills and attention to detail.
• Knowledge: Understanding of the physics of magnetic recording and its application in product development. Experience in building and applying machine learning models.
• Motivation: Self-motivated, with a strong drive to continuously improve and contribute to product development efforts.
• Communication: Excellent written and verbal communication skills, with the ability to present complex data and insights clearly to both technical and non-technical audiences.