Senior Data Scientist (Remote)
PW208: Connecticut Remote Remote Location , Remote City, CT, 06035 USA, United States
⚠️ We'll shut down after Aug 1st - try foo🦍 for all jobs in tech ⚠️
Full Time Senior-level / Expert Clearance required USD 101K - 203K
RTX
At RTX, we're accelerating ideas to solve some of the world's biggest challenges by bringing together the brightest, most innovative minds across aviation, space and defense.Date Posted:
2025-07-30Country:
United States of AmericaLocation:
PW208: Connecticut Remote Remote Location , Remote City, CT, 06035 USAPosition Role Type:
RemoteU.S. Citizen, U.S. Person, or Immigration Status Requirements:
U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.Security Clearance:
None/Not RequiredPratt & 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 digital technology has an exciting new opportunity for a Senior Data Scientist.
This is a remote work opportunity but ideally the candidate will be located in the greater East Hartford, Connecticut area.
What You Will Do:
We are seeking a highly motivated Senior Data Scientist to help us solve complex problems within Enterprise Analytics.
This position offers a unique opportunity to operate across multiple data science domains—including Graph AI, Large Language Models (LLMs), and AI Agents—in a startup-like environment embedded within a Fortune 50 company.
Together, we aim to push technological boundaries, drive innovation, achieve new productivity levels, transform how we work, and uncover new sources of growth for our customers.
Join us and engage with cutting-edge AI technologies in a collaborative and innovative environment and lead initiatives with significant visibility and impact across the enterprise.
We are committed to your professional growth, learning, and leadership development.
Key Responsibilities:
- Work with and mentor a talented team of Data Scientists and Machine Learning Engineers, guiding projects from concept to deployment.
- Collaborate strategically with business stakeholders to deeply understand complex problems, translating business needs into innovative AI solutions.
- Drive the development and prioritization of analytical capabilities and features, delivering measurable business impact through advanced machine learning techniques.
- Evaluate, prototype, and implement state-of-the-art AI technologies (e.g., knowledge graph-driven AI, LLM-driven workflows, autonomous AI Agents) into scalable, reusable enterprise-wide components.
- Champion best practices in data science and software engineering, including reproducibility, scalability, robust documentation, testing, and continuous integration/delivery.
- Proactively identify opportunities for improvement, facilitating rapid and high-quality project delivery.
- Foster a culture of intellectual curiosity, continuous learning, innovation, and knowledge sharing across the team and the broader enterprise.
Qualifications You Must Have:
- Bachelor’s degree in a related discipline, with 8+ years of relevant experience OR an advanced degree with 5+ years of relevant experience.
- U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
- 5+ years of professional experience in Data Science, Machine Learning, Statistics, or a related quantitative field.
- Demonstrated proficiency writing production-quality code (Python required; familiarity with SQL and optionally R) with strong attention to modularity, maintainability, and automated testing.
- Significant experience building and optimizing end-to-end data pipelines, including ETL processes, advanced feature engineering, dimensionality reduction, model deployment, monitoring, and alerting.
- Proven track record leading cross-functional initiatives, aligning technical solutions with strategic business objectives.
- Strong interpersonal skills with a demonstrated ability to manage stakeholder expectations through clear, transparent communication and milestone-driven delivery.
- Familiarity or hands-on experience with modern cloud-based data platforms and technologies, preferably including Databricks, Spark, Docker, and Kubernetes.
- Experience or strong interest in advanced AI techniques such as Graph AI, LLM-driven applications, and AI Agents highly preferred.
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?
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:
Remote: Employees who are working in Remote roles will work primarily offsite (from home).
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.
The salary range for this role is 101,000 USD - 203,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.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 anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.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.
Privacy Policy and Terms:
Click on this link to read the Policy and Terms
Tags: Databricks Data pipelines Docker Engineering ETL Feature engineering Kubernetes LLMs Machine Learning Model deployment Pipelines Privacy Python R Security Spark SQL Statistics Testing
Perks/benefits: 401(k) matching Career development Flex hours Flex vacation Health care Insurance Medical leave Parental leave Startup environment
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.