Principal Engineer, Integrated Product Analytics Innovation Lead (Remote)
About The Position
Collins Aerospace is seeking an Innovation Lead for its Integrated Product Analytics team to develop capabilities that enable data-driven decision-making and innovation within engineering. The role applies data analysis, machine learning, and process optimization to address business needs and improve internal development processes. The Innovation Lead supports aerospace product analytics by combining knowledge of engineering products with data analytics and statistics to help build an end-to-end product digital thread for Collins Aerospace products. The role also uses knowledge graph technology to connect data from previously siloed parts of the company and other tools, enabling faster, higher-fidelity processes and insights that improve products, services, and business intelligence. This is a remote, U.S.-based position. Employees work primarily offsite, though travel to a site may be needed. For employees living within a reasonable commute of a Collins site, the manager may discuss a degree of onsite presence. U.S. citizenship is required because only U.S. citizens are authorized to access information under this program or contract.
Requirements
- Typically requires a STEM degree and at least 8 years of relevant experience, or an advanced degree in a related field and at least 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.
Nice To Haves
- Experience in Data Science, Statistics, or Engineering.
- Experience with knowledge graph databases, semantic layers, and data ontologies.
- Experience with Databricks.
- Experience with Git or similar software revision control best practices.
- Experience with Agile tools such as Jira and Confluence.
- Experience with the software development or engineering lifecycle from concept to delivery.
Responsibilities
- 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 other data analysts and provide modeling expertise.
- 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.
Benefits
- Medical, dental, and vision insurance.
- Three weeks of vacation for newly hired employees.
- 401(k) plan with employer matching and a separate employer retirement contribution, including a Lifetime Income Strategy option.
- Tuition reimbursement program.
- Student Loan Repayment Program.
- Life insurance and disability coverage.
- Optional pet, home and auto, additional life and accident, critical illness, group legal, and identity theft protection coverages.
- Birth, adoption, and parental leave benefits.
- Fertility and family planning benefits.
- Adoption assistance.
- Autism benefit.
- Employee Assistance Plan, including up to 10 free counseling sessions.
- Healthy You Incentives wellness rewards program.
- Virtual doctor visits through Doctor on Demand.
- Child and elder care services through Bright Horizons.
- Second opinion program through Teladoc Medical Experts.
- Flexible spending accounts.
- Flexible work schedules.
- Paid time off and holidays.
- Potential annual short-term and/or long-term incentive compensation, depending on position level and applicable conditions.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
