Engineering Statistician I- (Onsite)

RTX•East Hartford, CT

1d•$68,900 - $131,100•Onsite

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. Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join us and help shape the future of aerospace and defense. Flight is an instrument of human progress. It not only gets people where they want to go, it carries humanity to places it never thought possible. At Pratt & Whitney, you’ll be part of an evolving, globally diverse company that’s moving fast to craft the future of aviation; one full of career opportunities and the chance to contribute and grow in a variety of ways. Customers all over the world depend on our technology and the people behind it. As part of the team you’ll help answer today’s challenges in powered flight while crafting and supporting tomorrow’s solutions. If you desire to work in a dynamic environment and possess the motivations to convert new ideas into practice, this may be the opportunity you’ve been looking for. We have a rare and an amazing opportunity for a talented Engineering Statistician in our East Hartford, Connecticut location. The Statistics and Data Analytics team recognizes & supports the power of turning data into insights. We are seeking a confident and enthusiastic statistician to join our team. As an Engineering Statistician you will help guide the company as it navigates through a myriad of engineering and business challenges. You will work on a variety of projects that require significant knowledge of statistics, and have the opportunity every single day to apply, and develop your skills in nearly every area of statistics. The Engineering Statistician will work effectively with others to address engineering and business needs within a rigorous statistical framework.

Requirements

MS Degree in Statistics (Bioinformatics, Biostatistics, Mathematics, Data Science, Operations Research or similar field)
High Dimensional Data Analysis
Survival Analysis
Machine Learning
Data Management
General Linear Models
Probability Theory
Bayesian Methods
Hypothesis Testing
Experimental Design
Categorical Data Analysis
Statistical Process Control

Nice To Haves

Prior knowledge of engineering and/or manufacturing

Responsibilities

Collaborate with multi-disciplinary teams of engineers and analysts using classical and modern statistical learning methods.
Communicate effectively with non-statisticians and engage in engineering discussions with all levels of the organization.
Train engineers in various technologies including but not limited to survival analysis, basic statistical thinking, R, Python
Participate in external and internal learning opportunities.