Key Responsibilities:  

• Design, develop and deploy state-of-the-art, data-driven predictive/descriptive models to solve business and engineering problems using the latest and most appropriate technologies in statistical modeling and machine learning. 

• Create new insights from predictive statistical modeling activities that target and deliver value to our business partners. 

• Manage, architect and analyze big data to build data driven business insights and high impact data models to generate significant business value. 

• Define, prototype, test, deploy and monitor machine learning and statistical models to provide predictions and forecasts. 

• Understand and recommend appropriate Machine Learning/Data Analytics methods and software solutions. 

• Work with the app development team to integrate predictive and prescriptive models into our tools. 

• Supporting overall organizational objectives identified in Policy Deployment. 

Basic Qualifications:  

• B.E in Data Science, Engineering, Mathematics, Statistics with 9+ years prior relevant engineering experience OR Advanced Degree in Data Science, Engineering, Mathematics, Statistics with and 4+ years prior relevant engineering experience. 

• Strong technical and strategic skills 

• Experience with Amazon Web Services (AWS), Python, R, AI/ML Model Development. 

• Demonstrated effectiveness in working across functions, organizations, and all levels of management. 

• Outstanding written and verbal communication skills in English. 

• Able to adapt, manage and lead in an uncertain environment. 

• Excellent interpersonal, problem-solving and critical thinking skills 

• Demonstrated experience in driving strategic analytics/AI initiatives and value realization from programs. 

• Experience in translating technical concepts into business-oriented language to craft solutions and influence business decision-making and outcomes. 

• Exceptional interpersonal skills with the ability to cultivate strong relationships with internal and external stakeholders. Demonstrated experience in fostering collaboration and driving alignment across diverse teams. 

• A deep understanding of business drivers, organizational dynamics, and industry trends in data science and analytics. 

Preferred Qualifications:  

• Broad understanding of gas turbine engine fundamentals and associated components. 

• Experience developing PowerBI/Qlik dashboards/AI-ML Models 

• Knowledge and experience in Data Governance, Architecture and Platforms 

• Experience with data text mining 

• Strong learner who is comfortable learning new libraries and frameworks 

• Experience working in an agile environment. 

Role Type: Hybrid - Employees who are working in Hybrid roles will work regularly both onsite and offsite.