Build and deploy machine learning models to estimate loads, strains, and damage/life predictions (scikit-learn).
Create dashboards and visualizations to explore large datasets and identify root causes of structural issues related to application severity (Power BI, Tableau).
Automate data processing and analysis workflows for high-frequency time-series telematics data, with robust version control and development practices (Python, Git, GitHub, Azure DevOps Repos, VS Code).
Managed large-scale SQL databases for storing and retrieving hundreds of millions to billions of rows of summarized data across diverse assets (Snowflake, MySQL, SQLite).

Requirements

Degree in Engineering from an accredited institution.
Experience in Finite Element Analysis (FEA), fatigue and durability modeling, and multibody dynamics.
Proficient in building machine learning models for load estimation and life prediction (scikit-learn).

Benefits

Medical, dental, and vision benefits*
Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
401(k) savings plans*
Health Savings Account (HSA)*
Flexible Spending Accounts (FSAs)*
Health Lifestyle Programs*
Employee Assistance Program*
Voluntary Benefits and Employee Discounts*
Career Development*
Incentive bonus*
Disability benefits
Life Insurance
Parental leave
Adoption benefits
Tuition Reimbursement

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningload estimationlife predictionfinite element analysisfatigue modelingdurability modelingmultibody dynamicsdata processingdata analysistime-series analysis

Certifications

degree in Engineering