QUALIFICATIONS / EXPERIENCE NEEDED:

• Typically requires a University Degree and minimum 5 years prior relevant experience or an Advanced Degree in a related field and minimum 3 years of experience or in absence of a degree, 9 years of relevant experience
• U.S. Person (U.S. citizen, permanent resident, or granted refugee or asylee status) as defined here: https://www.ecfr.gov/current/title-22/chapter-I/subchapter-M/part-120/subpart-C/section-120.62
• Proficiency in programming languages such as Python, R, or SQL

PREFERRED QUALIFICATIONS:

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Master’s or PhD preferred.
• Regression modeling
• Time series modeling
• Experience in data analysis, modeling, and predictive analytics
• Experience with data visualization tools such as Tableau or Power BI
• Ability to communicate complex analytical findings to non-technical stakeholders
• Proven track record of improving forecasting accuracy and strategic decision making through data science and analytics
  Collins Aerospace, an RTX company, is a leader in technologically advanced and intelligent solutions for the global aerospace and defense industry. Collins Aerospace has the capabilities, comprehensive portfolio, and expertise to solve customers’ toughest challenges and to meet the demands of a rapidly evolving global market.
  At Collins Aerospace, our Interiors team is focused on innovation, safety and cost efficiency. But we don’t just get people from point A to point B. We’re committed to making air travel more comfortable, connected and secure. As a leader in aviation interior products and services, we’re helping airlines and original equipment manufacturers create a positive experience for their customers. With offices and manufacturing facilities in more than 12 states across the U.S. and more than 10 countries around the globe, we’re changing the game of aircraft interiors. Are you ready to join our team?
  

  reempowerprogram

This role is also eligible for the Re-Empower Program. The Re-Empower Program helps support talented and committed professionals as they rebuild their capabilities, enhance leadership skills, and continue their professional journey. Over the course of the 14-week program, experienced professionals will gain paid, on-the-job experience, have an opportunity to participate in sessions with leadership, develop personalized plans for success and receive coaching to guide their return-to-work experience. Upon completion of the program, based on performance and contributions participants will be eligible for a career at RTX.
Minimum Program Qualifications
Be on a career break of one or more year at time of application
Have prior experience in functional area of interest
Have interest in returning in either a full-time or part-time position
Diversity drives innovation; inclusion drives success. We believe a multitude of approaches and ideas enable us to deliver the best results for our workforce, workplace, and customers. We are committed to fostering a culture where all employees can share their passions and ideas so we can tackle the toughest challenges in our industry and pave new paths to limitless possibility.

POSITION ROLE TYPE:

Hybrid
We are seeking a highly experienced and innovative Principal Specialist in Data Science & Analytics to lead the analysis, modeling, and explanation of data to produce analytical results. The ideal candidate will develop standards, policies, software, and procedures for the development of analytical results and predictive models. They will define and execute useful analyses to solve complex problems and optimize the performance of data systems by discovering, cleaning, and utilizing appropriate data from enterprise systems. If you have a passion for data-driven decision making and possess the skills and experience listed below, we encourage you to apply for this exciting opportunity as a Principal Specialist in Data Science & Analytics. This is a hybrid role in Winston-Salem, NC. Current expectations would be to work onsite 2-3 days per week. However, the amount of onsite days per week could fluctuate and is flexible depending on business needs. This position is eligible for relocation.

PRIMARY RESPONSIBILITIES:

• Lead the improvement of strategic financial planning forecasting, risk and scenario analysis, maintenance repair and overhaul forecasting, part manufacturer approval exposure, and supplier furnished equipment forecasting.
• Develop testing and validation methodologies and criteria to ensure accurate and reliable analytical results
• Develop data/information and model quality metrics to assess the effectiveness and efficiency of analytical models
• Research new technologies and develop business cases to support their use in data science and analytics
• Identify market trends, generate insights, and come to strategic business conclusions to support decision making across the organization