Engineer II - Data Science & Analytics

Job Description

Job Description: Pratt & Whitney is seeking data science & analytics engineer in our Data science, Analytics & Methods team at the Pratt & Whitney India Engineering Center (IEC) in Bengaluru India. The role will span working with multi-disciplinary organizations including system level, module level and component level across the product life cycle. Main responsibilities include providing insights from existing engine data and delivering data-based decisions using forecasting models that can be embedded in our current workflows. Key Responsibilities: Work with engineering organization leads to Leverage data collected on development and fielded engines to provide insights and better decision making Identify gaps in current data-based processes and tools and provide direction for tool development team Define, prototype, test, deploy and monitor statistical models to provide data-based predictions and forecasts Understand and recommend appropriate Data Analytics methods and software solutions Analysis and Development to be performed on Quality Nonconformance (QN) data in order to establish, opportunities, trends and forecasts Prepare and maintain documentation of forecasting methods and tools Collaborate with other methods and tool team members and stakeholders to identify continuous improvement opportunities Works autonomously with limited oversight & may provide guidance to lower experienced professionals with tasks and assignments. Exhibit the ownership for the defined milestones in terms of schedules & quality of deliverables Required Qualifications: Bachelors degree (with 4+ year experience) or Advanced degree (with 2+ year experience) in Data Science, Mathematics, Engineering or Statistics. 2+ years of experience in SQL. 2+ years of experience building machine learning/statistical models. Preferred Qualifications: Experience in Aerospace domain. Experience developing in Python. Experience developing PowerBI/Qlik dashboards. Experience with data & text mining. Experience with Amazon Web Services (AWS). Experience working in an agile environment. Good communication skills and working as a team player.