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Principal Engineer, Integrated Product Analytics Innovation Lead

Job not on LinkedIn

🔥 0 minutes ago

🦌 Connecticut – Remote

infoinfo

đź’µ $107.5k - $204.5k / year

⏰ Full Time

đźź  Senior

📊 Data Scientist

Where this job comes from

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

First seen by Remote Rocketship 0 minutes ago

Logo of RTX

RTX

10,000+ employees

Founded 2020

🏭 Manufacturing

đź’Ľ Consulting

📦 Logistics

Manufacturing • Consulting • Logistics

RTX is a globally recognized aerospace and defense company dedicated to transformative technologies and era-defining innovation. It operates through various businesses, including Collins Aerospace, Pratt & Whitney, and Raytheon, with a focus on sustainable, connected flight and smarter defense systems. RTX is committed to diversity, equity, and inclusion across the company and aims to solve the world’s most complex problems with cutting-edge technology and talent. Additionally, RTX is involved in significant projects like upgrading the F135 Engine Core and developing missile-defense systems. The company emphasizes corporate responsibility and sustainable practices.

đź“‹ 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 • Combine engineering product knowledge with data analytics and statistics to build an end-to-end product digital thread • Leverage knowledge graph technology and other tools to connect previously siloed company data and enable higher-fidelity processes • Improve products, services, and business intelligence through data-driven insights

🎯 Requirements

• Degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 8 years of 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 required; only U.S. citizens are authorized to access information under this program/contract • 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 preferred

🏖️ Benefits

• Medical, dental, and vision insurance • Three weeks of vacation for newly hired employees • Generous 401(k) plan with employer matching funds and separate employer retirement contribution • 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 work schedules • Employee Scholar Program • Paid time off and holidays • Annual short-term and/or long-term incentive compensation programs may be available; payments are not guaranteed

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