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Data Scientist (Remote - Puerto Rico)

RTX Corporation • Aguadilla, PR • 1w ago

Date Posted:

2025-04-22

Country:

United States of America

Location:

PW222: PW Puerto Rico Road 110 North Km28.8 San Antonio Industrial Park, Aguadilla, PR, 00603 USA

Position Role Type:

Remote

Pratt & Whitney is working to once again transform the future of flight - designing, building and servicing engines unlike any the world has ever seen. And because transformation begins from within, we're seeking the people to drive it. So, calling all curious.

Come ready to explore and you'll find a place where your talent takes flight-beyond the borders of title, a country or your comfort zone. Bring your passion and commitment and we'll welcome you into a tight-knit team that takes our mission personally. Channel your drive to make a difference into shaping an organization and an industry that's evolving fast to the future.

At Pratt & Whitney, the difference you make is on display every day. Just look up. Are you ready to go beyond?

Pratt & Whitney Puerto Rico has an exciting new opportunity for a Data Scientist.

This is a remote work opportunity but the selected candidate must reside in Puerto Rico.

What You Will Do:

We are seeking a highly motivated individual contributor to help us solve complex problems. This role is within the Enterprise Analytics and will push technology boundaries and drive innovation by providing product ownership and technical expertise in a collaborative, cross-disciplinary environment.

This position will provide the unique opportunity to operate within multiple data science domains (including LLMs) in a startup-like environment within a Fortune 50 company. Together we aim to achieve new levels of productivity by changing the way we work and identifying new sources of growth for our customers.

Key Responsibilities:

Work in a multidisciplinary team of Data Scientists, Machine Learning Engineers, Data Engineers, and Software Developers.

Incorporate newly developed technologies and algorithms into reusable components that can be distributed across the enterprise.

Build, test, and deploy Machine Learning models to drive business value

Communicate with business unit stakeholders to understand challenges and opportunities.

Apply data science and software engineering best practices.

Facilitate the timely delivery of software through continuous improvement.

Participate in a culture of curiosity and continuous learning.

Qualifications You Must Have:

Bachelor's degree in a related discipline, with 5+ years of relevant experience OR an advanced degree with 3+ years of relevant experience.

U.S. Citizenship is required due to systems supported.

4+ years of experience with statistics / analytics / data science / machine learning.

Experience writing production-grade code (Python, R, SQL, etc.).

Experience with data pipelines: ETL, feature engineering, dimensionality reduction, model deployment.

Experience partnering across multiple disciplines to achieve strategic objectives.

Experience managing stakeholder expectations in milestone-driven schedules.

Some experience with Databricks, S3, Spark EMR, SageMaker, Azure AI.

Qualifications We Prefer:

Experience/exposure to Graph Neural Networks.

Excellent collaboration skills in hybrid / remote environments.

Excellent organizational, presentation and communication skills.

Flexible personality to work well in rapidly evolving org / team models.

Learn More & Apply Now:

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:

What is my role @type?

This role is:

Remote: Employees who are working in Remote roles will work primarily offsite (from home) - T he selected candidate must reside in Puerto Rico.

Candidates will learn more about role @type and current site status throughout the recruiting process.

*This requisition is eligible for an employee referral award. ALL eligibility requirements must be met to receive the referral award.

This role is a U.S. based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.

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 or veteran status, or any other applicable state or federal 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.

Click on this link (http://www.rtx.com/privacy/Job-Applicant-Privacy-Notice) to read the Policy and Terms

Raytheon Technologies is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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