Senior Engineer, Data Science & Analytics (Hybrid - Aguadilla, PR)

RTX•Aguadilla, PR

7d•Hybrid

About The Position

At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense. Collins Aerospace has an exciting opportunity for a talented Data Analytics and Methods Engineer to join our team. In this role, you will leverage your statistical expertise and data analysis skills to support the product lifecycle, drive data-driven insights, and optimize our product management strategies. You will also lead initiatives to train and test predictive models, implement machine learning algorithms, and develop innovative solutions for complex challenges. This position offers the opportunity to work on cutting-edge technologies within the aerospace industry, collaborating with global cross-functional teams to deliver impactful, data-driven outcomes. This position will sit at our Aguadilla, PR location. You must be residing in Puerto Rico at the time of starting employment. Relocation is not offered. This role is categorized as hybrid, with 3 days onsite and 2 days remote following the schedule assigned by the Manager.

Requirements

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.

Nice To Haves

Master’s Degree in Data Science, Computer Science, Mathematics, or a related field.
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.

Responsibilities

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.