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Senior Data Scientist (Onsite)

RTX Corporation • East Hartford, CT • 2d ago

Date Posted:

2025-09-02

Country:

United States of America

Location:

PW100: East Hartford 400 Main Street, East Hartford, CT, 06118 USA

Position Role Type:

Hybrid

U.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 Required

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?

What you will do:

The Hot Section Module Center (HSMC) is seeking a data scientist to join our Digital Transformation (DTx) team in improving the way the organization uses data. The team cuts across functional areas, supporting stakeholders across the business by providing digital products and analytics that increase the velocity of information flow within the organization and enabling access to advanced analytics where needed. Our team is looking for members who are curious and enthusiastic about data, analytics, and continuous improvement.

Responsibilities:

Work with stakeholders across functional areas to understand key processes, data sources, and requirements.

Conduct exploratory analysis of business and manufacturing process data, focusing on our most challenging and complex datasets.

Develop, test, deploy, and validate statistical models

Work closely with the Digital Technology team to ensure data infrastructure meets organizational needs

Create documentation and standard work for deployed models.

Qualifications you must have:

Bachelor's degree in quantitative field (computer science, engineering, mathematics, etc)

5+ years of relevant experience, or advanced degree with 3+ years of experience

Demonstrated practical experience with SQL and Python

Demonstrated practical experience building and deploying statistical models

Strong communication skills

Curiosity and creativity

U.S. citizenship required due to government contracts

Qualifications we prefer:

Experience with time series data

Experience with SAP and Solumina

Experience with Power BI

Experience with Git

Experience with Databricks

Familiarity with aerospace manufacturing and shop-floor environments

Familiarity with continuous improvement methodologies like Six Sigma

Familiarity with Operations Research

Familiarity with change management principles

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:

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.

The salary range for this role is 82,000 USD - 164,000 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.

Accenture • Hartford, CT • 23h ago

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