• Raytheon Technologies
  • Hybrid (East Hartford, CT, USA)
  • Jan 11, 2023
Full-time Big Data Data Analysis Data Management Data Science Machine Learning Operations Python R Research Statistics

Job Description

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.

Innovation through diversity of thought. At Pratt & Whitney, we believe diversity of thought enables creativity, innovation, and a foundation for inclusion. By fostering an inclusive culture, we accept a shared accountability and responsibility to recognize, sponsor, coach, hire and promote talent equally. We welcome our employees to be their whole - best - selves at work because trust, respect and integrity, are a part of our DNA.

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

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 a Statistician you will help guide the company as it navigates through a myriad of engineering and business challenges. You will work on deeply diverse 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 Statistician will work effectively with others to address diverse challenges within a rigorous statistical framework.

Key Responsibilities:

As part of our Statistics and Data Analytics team, your key focus areas will include, but are not limited to:

  • 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 systems and technologies including Minitab, R, Python and survival analysis
  • Exhibit proven knowledge in High Dimensional Data Analysis, Bayesian Methods, Survival Analysis, Data Management, General Linear Models, Probability, Hypothesis Testing, Experimental Design, Categorical Data Analysis, Statistical Process Control
  • Participate in external and internal learning opportunities

Basic Qualifications:

  • BS degree in Statistics (Bioinformatics, Biostatistics, Mathematics, Operations Research, Data Science)
  • 5+ years of experience in Statistics or 3+ years with an advance degree
  • US Citizenship or US Person Status required due to government contract

Preferred Qualifications:

  • MS Degree in Statistics preferred
  • Experience in Data Science, Big Data Tools, and Machine learning

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:

Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. This means that responsibilities of the job need to be performed onsite on a regular basis.

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.

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.

Job ID