Laser Component Reliability Engineer

Location: Oxford (CDP), MA Salary: $ USD Annually - $ USD Annually Description: Our client is currently seeking a Laser Component Reliability Engineer

Statistical Data Scientist / Engineer

Location: Oxford, MA (Onsite)
Compensation: Up to $150,000 Base Salary
About the Opportunity

We are seeking a highly analytical professional to join our advanced technology team in Oxford, MA.

This role offers the opportunity to work closely with engineering leadership, driving data-driven decision-making in a cutting-edge development environment.

The position reports to the Chip Development Manager, who reports directly to the VP of Laser Technology, providing strong visibility and career growth potential within the organization.
Key Responsibilities

• Apply advanced statistical methods to support product development, process optimization, and engineering initiatives.
• Analyze complex datasets to identify trends, improve performance, and drive business decisions.
• Develop and maintain analytical tools and models using Python and R.
• Collaborate with engineering teams to evaluate product performance and manufacturing processes.
• Present findings and recommendations to technical and executive stakeholders.
• Support root cause investigations and design-of-experiment (DOE) activities.
• Contribute to continuous improvement efforts through data-driven insights.

Required Qualifications

• Bachelor's or Master's degree in Statistics, Data Science, Engineering, Mathematics, Business Analytics, MBA, or a related field.
• Strong expertise in statistical analysis and modeling.
• Hands-on experience with Python and R for data analysis and visualization.
• 3-6 years of relevant industry experience.
• Excellent analytical, problem-solving, and communication skills.
• Ability to translate complex data into actionable business and technical recommendations.

Preferred Qualifications

• MBA with a strong quantitative and statistical background.
• Experience in engineering, semiconductor, photonics, electronics, manufacturing, or related technical environments.
• Knowledge of Design of Experiments (DOE), process capability analysis, and predictive modeling.
• Experience with soldering techniques and electronic assembly.
• Ability to dissect and analyze electronic packages down to the component level.
• Familiarity with laboratory testing, failure analysis, or product development environments.

What We're Looking For

The ideal candidate combines strong statistical expertise with practical industry experience. While advanced academic credentials are valued, we place a greater emphasis on candidates who have successfully applied statistical methods to solve real-world business and engineering challenges.

If you are passionate about analytics, enjoy working with complex technical data, and want to make a direct impact on innovative technology development, we'd love to hear from you.

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