JOB SUMMARY:
Data Scientists support business growth by using business intelligence software, advanced data mining techniques, and statistical analysis methodology to automate complex processes, visualize large data sets, and generate new insights. Data scientists are highly analytical, technically skilled, and have a passion for sharing their insights to a broad audience.
The Data Scientist position within the Textron Aviation Aftermarket Analytics team in Customer Service is responsible for identifying, developing, and executing solutions that support strategic initiatives by generating actionable insights and recommendations based on the latest data science methodologies. This role will have a focus on forecasting aircraft maintenance to assist with annual operational planning, discounting strategy, creating long term maintenance agreements, and ensuring we keep our service centers full.
At Textron Aviation, we are building a community of Data & Analytics professionals with an emphasis on collaboration and cross functional support. You will have the opportunity to work closely with your peers throughout the organization toward a vision of data driven strategy.
JOB RESPONSIBILITIES:
- Build, optimize, and automate data models to support business reporting and ad-hoc analysis
- Advise leadership on analytical, data-driven approaches to solve challenges and identify opportunities
- Develop statistical and machine learning models to answer business questions and make predictions using R, Python, and other programming languages
- Experiment and explore new technologies to support business objectives
- Monitor data models for accuracy and performance and update as needed to maintain quality
- Develop best practices and document proven solutions
- Interface with other data professionals throughout the organization to embrace cross functional growth in analytics capabilities
- Provide guidance to data analysts to support expanding descriptive models into a predictive or prescriptive environment
- Conduct training on data literacy and data science capabilities to data consumers
- Gather and document analytics project requirements from business stakeholders, identifying opportunities to apply advanced analytic approaches
- Explore and understand the inner workings and market context of an aircraft OEM
- Preprocess data using feature selection and/or dimensionality reductions algorithms within a pure code environment.
- Solve regression and classification problems using established machine learning techniques
- Evaluate and optimize the performance of machine learning models through results-based training and testing