Operations Improvement Engineer — Data, ML & Automation

Polluxa, Inc.; Boise (ID); On-site; USD 90,000 - 130,000; Full time

Job summary

Polluxa, Inc. is seeking an Engineer - Operations Improvement to analyze and improve operational processes using data-driven insights.

You will collaborate with cross-functional teams to design solutions that optimize efficiency and drive business outcomes. The ideal candidate has strong programming skills (Python and Node.js), experience with machine learning and AWS, and the ability to translate complex concepts to non-technical stakeholders.

Qualifications

• 3+ years of experience in a technical operations role.
• Strong programming skills in Python and Node.js.
• Experience with machine learning and cloud computing (AWS).
• Excellent analytical and problem-solving skills.
• Ability to communicate complex technical concepts to non-technical stakeholders.

Responsibilities

• Analyze operational data to identify trends and areas for improvement.
• Design and implement data-driven solutions to improve operational efficiency and effectiveness.
• Collaborate with cross-functional teams to develop and implement process improvements.
• Develop and maintain dashboards and reports to track key performance indicators.
• Identify and implement opportunities for automation and process optimization.

Skills

Python

Node.js

Machine Learning

AWS

Analytical thinking

Communication

Job description

Polluxa, Inc. is seeking an Engineer - Operations Improvement to analyze and improve operational processes using data-driven insights.

You will collaborate with cross-functional teams to design solutions that optimize efficiency and drive business outcomes. The ideal candidate has strong programming skills (Python and Node.js), experience with machine learning and AWS, and the ability to translate complex concepts to non-technical stakeholders.