Senior Analytics Engineer

Location

HCT
99:
Field Office – CT Remote Location, Remote City, CT, 06101 USA. Remote work available.

We are seeking a Senior Analytics Engineer to join our Product Lifecycle Analytics team, supporting cutting‑edge electro‑mechanical systems worldwide. The role involves integrating data across historically siloed business units, transforming engineering and operational data into actionable insights to drive product performance and service optimization. Salary range: $86,800–$165,200 USD.

• Develop a strong understanding of core electrical and mechanical system principles.
• Conduct data analysis with Python to drive informed business decisions.
• Apply statistical methods to assess data completeness, accuracy, and reliability.
• Support engineering teams with root‑cause analysis investigations.
• Promote the adoption of semantic models and ontologies across the organization.
• Design and build executable Python‑based analytical models.
• Automate data processing, analysis, and formatting workflows.
• Clean, structure, and analyze datasets using Python.
• Organize data and implement standardized labeling practices in AWS S3.
• Deploy machine learning algorithms on both numerical and categorical data sets.

• Minimum 5 years of relevant experience with a STEM degree, or an advanced degree with at least 3 years of experience.

• Background in Data Science, Statistics, or an engineering discipline.
• Proficiency in Python for data analysis and model development.
• Experience with in the Aerospace & Defense industry or Information Systems environments.
• Familiarity with graph databases, semantic layers, and data ontology frameworks.
• Hands‑on experience with cloud and distributed technologies such as AWS, Azure, or Apache Spark.
• Knowledge of Git or similar version‑control systems, following software‑development best practices.
• Understanding of the full software‑development lifecycle, from concept through deployment.
• Experience using Agile collaboration and project‑management tools such as Jira and Confluence.

• Medical, dental, and vision insurance.
• Three weeks of vacation for newly hired employees.
• Generous 401(k) plan with employer matching and separate retirement contribution with Lifetime Income Strategy option.
• Tuition reimbursement program.
• Student Loan Repayment Program.
• Life and disability insurance.
• Optional coverages: pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal,  protection.
• Birth, adoption, and parental leave benefits.
• Ovia Health, fertility, and family‑planning benefits.
• Adoption Assistance.
• Autism Benefit.
• Employee Assistance Plan, including up to 10 free counseling sessions.
• Healthy You incentives and wellness rewards program.
• Doctor on Demand and virtual doctor visits.
• Bright Horizons child and elder care services.
• Teladoc Medical Experts and second‑opinion program.
• And more.

Remote:
Employees working in remote roles will primarily work off‑site from home. Occasional travel to the site location may be required.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in‑person at one of our office locations, regardless of whether the role is designated as on‑site, hybrid or remote.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected class. RTX provides affirmative action in employment for qualified individuals with a disability and protected veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.