Maintenance Forecasting Analyst (Onsite)

Pratt & Whitney; East Hartford (CT); On-site; USD 86,800 - 165,200; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) match

Paid time off

Job summary

Pratt & Whitney in East Hartford is seeking a qualified candidate to set up and run state machine models for forecasting and scenario analyses to support overhaul and maintenance scheduling of military engines. The role involves developing software state machine models and applying data science techniques to improve forecasting accuracy.

The job emphasizes C++ and Python development, experience with FloSimLX tools, and willingness to contribute to AI/ML aspects as needed.

Qualifications

• University degree or equivalent with 5+ years in engineering; or advanced degree with 3+ years.
• Ability to obtain U.S. government security clearance; U.S. citizenship required.
• Experience with Excel, data viz tools (PowerBI), Python, and Visual Studio.

Responsibilities

• Manage priorities to deliver forecasts to customers on time and accurately.
• Deliver scenario analyses and define data, metrics, and requirements.
• Troubleshoot model outcomes by applying simple C++ enhancements.
• Develop C++ and Python code to enhance FloSimLX tools and AI/ML techniques.
• Develop FAR Python web app frontend, algorithms and data loading.

Skills

C++

Python

Data visualization

Microsoft Visual Studio

Communication

Lean/Agile

Education

Bachelor's degree or higher

Tools

FloSimLX tools

Job description

Location

US-CT-EAST HARTFORD-ETC ~ 400 Main St ~ BLDG ETC

Job Summary

Military and commercial aviation industries are complex and increasingly data driven. Today's aircraft and engines have a multitude of sensors creating a myriad of data elements from which predictive inferences are made. We are in a unique position as the only group in Military Engines that has the expertise to distill massive datasets into actionable information to support mission critical operations.

We create predictive intelligence providing our customers with the ability to take meaningful action and make critical decisions enhancing mission readiness of our Nation and allies. Our analysts have the expertise to create custom analytical models based on specific customer requirements and needs, including agent-based simulation, hybrid discrete-continuous simulation and stochastic optimization in addition to standard à la carte options.

The primary focus for this candidate will be setting up and running state machine models to further efforts around forecasting and scenario analysis to assist with overhaul, repair and maintenance scheduling of military engines, including software development of mathematical models and implementing analysis and visualizations of results. Additionally, this role may assist with developing and implementing software state machine models, stochastic modeling, and at times may develop and maintain machine learning algorithms as necessary to enhance the current forecasting modeling software.

What You Will Do

• Effectively manage priorities to produce timely and efficient delivery of forecasts to customers according to requirements and customer need, with high quality and without error.
• Deliver multiple scenario analyses for each forecast based upon customer requests and identify data, metrics and analytical requirements to solve business use cases provided by customers.
• Troubleshoot model outcomes to ensure quality and accuracy by making simple C++ enhancements to existing code.
• Development of C++ and Python code to support existing FloSimLX tools to create enhancements and automation within the current model using predictive mathematical data science principles up to and including AI and machine learning techniques.
• Development of a Python web application, FAR, including front end development, computational algorithms and data loading to support forecasting accuracy initiatives.

Qualifications You Must Have

• A University Degree or equivalent experience and minimum 5+ years prior relevant experience, or an advanced degree in a related field and minimum 3+ years in engineering/other technical positions. Experience to include: working with technical and non-technical partners such as product and technical managers, strong communication skills, advocacy and support of continuous improvement methodology within our lean manufacturing operating system, proficiency in Microsoft Excel, intermediate knowledge of data visualization tools (PowerBI or similar), knowledge of Agile ceremony and process methodology (Lean Agile), intermediate knowledge of Python, intermediate knowledge of data science mathematical principles including statistics, basic understanding of Microsoft development products such as Visual Studio.
• The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

Qualifications We Prefer

• Advanced knowledge of Python and C++.
• Advanced knowledge in probability and statistics.
• Intermediate knowledge of distributed processing of large data sets.
• Basic knowledge of cloud computing environments either with Azure or Amazon, including use of data science or AI/ML tooling within these spaces.

Learn More & Apply Now!

• 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.
• Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee’s personal responsibility.

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

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 86,800 USD - 165,200 USD.

Benefits

Hired applicants may be eligible for benefits including 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 on the specific business unit as well as whether the position is covered by a collective‑bargaining agreement.

Incentives

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 it is covered by a collective‑bargaining agreement. Payments under these annual programs are not guaranteed and depend on individual performance, business unit performance, and/or the company’s performance.

Equal Employment Opportunity

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.

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