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Principal Engineer, Integrated Product Analytics Innovation Lead

Job not on LinkedIn

🔥 1 minute ago

🦌 Connecticut – Remote

infoinfo

💵 $107.5k - $204.5k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

Where this job comes from

Posted on RTX's careers page, not through a job board

First seen by Remote Rocketship 1 minute ago

Logo of RTX

RTX

10,000+ employees

🚀 Aerospace

🎖️ Defense

🏭 Manufacturing

💰 $200k Grant - RTX on 2024-11

Aerospace • Defense • Manufacturing

RTX is a multinational aerospace and defense company that brings together aviation and defense businesses—including Collins Aerospace, Pratt & Whitney and Raytheon—to design, manufacture and service aircraft engines, auxiliary power units, integrated aerospace systems and defense solutions. The company focuses on advancing technologies that power flight, strengthen national security and support government and commercial customers worldwide, with a global presence across the Americas, Asia-Pacific, Europe, the Middle East and Africa. RTX emphasizes engineering, manufacturing, and research to solve complex technical challenges for aviation and defense.

📋 Description

• Conduct data analysis using Python to address business needs • Perform statistical analysis to assess the completeness and validity of data sources • Support engineering root cause analysis investigations • Implement machine learning algorithms on numerical and categorical datasets • Mentor and provide modeling expertise to other data analysts • Automate data analyses and formatting procedures to improve efficiency • Develop tools and processes to enhance internal team development workflows • Innovate methods to integrate knowledge graphs with data metadata • Enable data-driven decision-making and drive innovation within the engineering team • Help build an end-to-end product digital thread for Collins Aerospace products • Leverage knowledge graph technology and other tools to connect previously siloed company data and unlock product, service, and business intelligence insights

🎯 Requirements

• Degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 8 years prior relevant experience, or an Advanced Degree in a related field and minimum 5 years of experience • Experience performing data analysis using Python, including libraries such as Pandas or PySpark • Experience performing statistical analysis to evaluate data completeness and validity • Experience implementing machine learning algorithms on numerical and categorical datasets • Experience automating data analyses and formatting processes • U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract • Preferred: experience in Data Science, Statistics, or Engineering • Preferred: experience with knowledge graph databases, semantic layers, and data ontologies • Preferred: experience with Databricks • Preferred: experience with Git or similar software revision control best practices • Preferred: experience with Agile tools such as Jira and Confluence • Preferred: experience with the software development or engineering lifecycle from concept to delivery

🏖️ Benefits

• Medical, dental, and vision insurance • Three weeks of vacation for newly hired employees • 401(k) plan with employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option • Tuition reimbursement program • Student Loan Repayment Program • Life insurance and disability coverage • Optional pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, and ID theft protection • Birth, adoption, and parental leave benefits • Ovia Health, fertility, and family planning • Adoption Assistance • Autism Benefit • Employee Assistance Plan, including up to 10 free counseling sessions • Healthy You Incentives wellness rewards program • Doctor on Demand virtual doctor visits • Bright Horizons child and elder care services • Teladoc Medical Experts second opinion program • Flexible spending accounts • Flexible work schedules • Employee Scholar Program • Paid time off and holidays • Potential annual short-term and/or long-term incentive compensation programs (not guaranteed)

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