Senior Engineer, Data Science & Analytics

RTX

Data Analytics and Methods Engineer at Collins Aerospace, leveraging statistical expertise for product management. Collaborating globally and driving data-driven insights in aerospace and defense industry.

Posted 6/18/2026full-timeAguadilla • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudETLNumpyPandasPySparkPythonPyTorchSQLTableauTensorflow

About the role

Key responsibilities & impact

Lead the analysis, modeling, and explanation of data to produce actionable analytical results and drive strategic decision-making.
Perform end-to-end data processes, including data collection, curation (including testing and validation), analysis, and visualization.
Develop, automate, and optimize data pipelines to transform raw data into strategic insights that align with Collins Aerospace’s objectives.
Establish standards, policies, and procedures for the development of analytical results and predictive models, ensuring scalability and consistency.
Write and maintain advanced scripts/macros in Python to support data analytics processes and mentor team members on coding best practices.
Conduct advanced statistical analyses to identify data patterns, outliers, or inconsistencies, while delivering innovative solutions.
Research and implement state-of-the-art machine learning libraries and algorithms for tasks such as supervised and unsupervised learning.
Research emerging technologies, prepare business cases, and lead initiatives to integrate these tools into organizational strategies.
Collaborate with cross-functional and international teams to gather insights, refine requirements, and align product goals with enterprise strategies.
Participate in Agile sprints, taking ownership of critical user stories, backlog items, and deliverables, while mentoring team members on Agile principles.
Support investigations and continuous improvement initiatives by leveraging digital thread and enterprise data resources to maximize operational efficiency.
Prepare and deliver technical documentation, presentations, and reports to effectively communicate insights and recommendations to both technical and non-technical audiences, influencing stakeholders at all levels.
May require occasional domestic and/or international travel to support cross-functional and global project requirements.

Requirements

What you’ll need

Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 5 years prior relevant experience or an Advanced Degree in a related field and minimum 3 years of experience
Demonstrated professional experience communicating in English across all levels of an organization (verbal and written).
U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
Master’s Degree in Data Science, Computer Science, Mathematics, or a related field (preferred).
Experience and technical expertise in aerospace, defense, or related industries, with the ability to align data strategies to industry-specific needs.
Proven hands-on experience with Python for data analysis (e.g., NumPy, Pandas, PySpark).
Proficiency in extracting, transforming, and loading (ETL) data from various sources with a strong understanding of data pipelines.
Intermediate experience with SQL and relational databases for querying and data manipulation.
Experience working in Agile teams and familiarity with Agile methodologies, including leading sprints and managing deliverables.
Expertise in building and optimizing data pipelines, automating analytics processes, and leveraging cloud platforms (e.g., AWS, Azure).
Advanced proficiency with data visualization tools such as Tableau, Power BI, or similar software, with a focus on storytelling through data.
Knowledge of advanced statistical methods, machine learning techniques, and hands-on experience with popular frameworks (e.g., TensorFlow, PyTorch).
Industry certifications such as AWS Certified Machine Learning, Google Professional Data Engineer, or related credentials are a plus.

Benefits

Comp & perks

Medical, dental, and vision insurance
Three weeks of vacation for newly hired employees
Generous 401(k) plan that includes employer matching funds
Participation in the Employee Scholar Program (ESP)
Life insurance and disability coverage
Employee Assistance Plan, including up to 8 free counseling sessions.
And more!

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analysisdata modelingdata visualizationPythonETLSQLmachine learningstatistical analysisdata pipelinesdata curation

Soft Skills

communicationcollaborationmentoringleadershipproblem-solvinginfluencingagile principlesstrategic decision-makingcontinuous improvementstorytelling

Certifications

AWS Certified Machine LearningGoogle Professional Data Engineer