• Lead from front to establish Analytics AI/ML CoE by hiring best-in-class resources, creating strategic roadmap, and owning KPIs reporting 

• Collaborate with global business teams to understand the problems and design scalable solutions. 

• Apply statistical and machine learning methods to analyze large, complex datasets to extract meaningful insights and inform company strategies. 

• Identify and understand the necessary data sources for projects and efficient ways to clean and transform it. 

• Work with Global Technology to ensure that solutions are up to current standards and best practices. 

• Develop and deploy machine learning models to predict outcomes and improve decision-making. 

• Build presentations to clearly communicate project statuses and results. 

• Stay abreast of the latest technologies and build new skills in data science, machine learning operations, and technologies and platforms. 

Basic Qualifications:  

• B.E in Data Science, Engineering, Mathematics, Statistics with 6+ years prior relevant engineering experience OR Advanced Degree in Data Science, Engineering, Mathematics, Statistics with and 4+ years prior relevant engineering experience. 

• Experience as a people manager within a technical leadership role. 

• Experience developing people, including individual goal setting, performance management, and talent development.   

• Outstanding written and verbal communication skills in English. 

• 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. 

• Deep understanding of statistical techniques, such as parameter estimation, hypothesis testing, and regression 

• Advanced experience in Python/R/SQL/Hive, preferably with cloud deployment experience. 

• An understanding of how analytics solutions generate value for the business and how to calculate and demonstrate this value. 

• Experience in building models that have been deployed to production.  

• Experience using big data batch and streaming tools (Spark, AWS tools, Hadoop, Databricks) 

• Self-starter with high level of intellectual curiosity. 

• Strong analytical and hardworking problem-solving mindset 

Preferred Qualifications:  

• Experience in Aerospace Defense Processes from Design to Manufacturing to After Sales Support 

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

• Experience standing up new teams and building a positive professional culture. 

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

• Familiarity with setting up LLM with millions+ parameters inherent computing infrastructure costing model 

• In depth 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.