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# Data Scientist (Onsite)

- **Company:** RTX
- **Location:** East Hartford, CT, United States
- **Experience:** Experienced
- **Salary:** $86,800.0 - $165,200.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Computer Programming, Databases, Data Cleansing, Extract Transform Load (ETL), Data Structures, Data Systems, Data Warehousing, R (Programming Language), Python (Programming Language), Machine Learning, SAP ERP, Performance Tuning, Power BI, SAP (Applications), SQL Databases, Systems Integration, Data Processing, Database Optimization, Model Validation, Information Technology, SAP S/4HANA, Machine Learning Operations, Data Pipelines, Databricks
- **Published:** October 15, 2026
- **Apply:** https://globalhr.wd5.myworkdayjobs.com/REC_RTX_Ext_Gateway/job/US-CT-EAST-HARTFORD-M--400-Main-St--BLDG-M/Data-Scientist--Onsite-_01881374

## About the Role

* Advanced degree and 3+ years of experience in Data Science, Advanced Business Analytics, Technology and Machine Learning, preferably within Manufacturing, Aerospace, supply chain, or an FAA-regulated environment; OR Bachelor's degree and 5+ years of relevant industry experience., * Advanced degree in Data Science, Computer Science, Statistics, Analytics, Engineering, Economics, Finance, or a related quantitative field.
 * Proficiency in programming languages commonly used in data science (e.g., Python, R, SQL)
 * Demonstrated success in data cleaning, exploratory data analysis, and deploying production-level predictive models
 * Familiarity with enterprise database systems, data warehousing, and ETL/ELT pipelines
 * Extensive hands-on experience with Databricks for big data processing, collaborative analytics, and managing machine learning pipelines.
 * Familiarity with Solumina databases and manufacturing execution system (MES) data structures to track shop floor assembly, repair, and quality workflows.
 * Experience integrating and querying SAP databases (e.g., SAP ERP/S/4HANA) for resource planning, supply chain, and inventory insights.
 * Expertise in Power BI for designing executive dashboards, interactive visual reports, and optimizing enterprise business intelligence applications.

## Description

* Web & Business Analytics
 + BI Architecture Leadership: Lead the design, implementation, and support of local business intelligence applications and underlying architecture.
 + Standards & Governance: Develop organizational standards, policies, and procedures regarding the form, structure, and attributes of BI tools and reporting systems.
 + Performance Optimization: Optimize BI tool performance by defining strategic data filtering and indexing strategies that maximize user utility and report speed.
 + Quality Metrics & Testing: Create rigorous testing methodologies, validation criteria, and data/information quality metrics to ensure operational trust in our data.
 + Technology Scouting: Research emerging BI and data technologies, building comprehensive business cases to support their adoption.
 + Strategic Insights: Analyze data trends in shop operations and supply chain to generate insights, draw business conclusions, and directly support operational-level decision-making.

 * Data Science & Machine Learning
 + Predictive Modeling: Lead the analysis, statistical modeling, and interpretative explanation of complex aerospace data to generate robust analytical and predictive results (e.g., component failure forecasting, turnaround time optimization).
 + Analytical Standards: Establish standards, software protocols, and procedures for building predictive models and analytical pipelines.
 + Data Pipeline Management: Discover, clean, extract, and leverage data from enterprise systems to maximize data system performance and analytical accuracy.
 + Model Validation: Design end-to-end testing and validation frameworks, establishing strict quality metrics for predictive models.
 + Operational Problem Solving: Execute targeted data analyses to solve critical engineering, overhaul, and shop floor bottlenecks., In addition to transforming the future of flight, we are also transforming how and where we work. We've introduced role types to help you understand how you will operate in our blended work environment. This role is:
 * Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance workers, as they are essential to the development of our engines.

Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee's personal responsibility.