Manager - Methods and Data Science, India Engineering Center

Key Skills

Java Programming, Python Programming, SQL, AWS, PowerBI, Qlik Sense

Job Description

Aftermarket & Sustainment Engineering (ASE), based in East Hartford Connecticut, is looking for a Data Science Manager to lead our Methods team at the Pratt & Whitney India Engineering Center (IEC) in Bengaluru India. This role will be responsible for the development, deployment, and support of game-changing repair/maintenance machine learning and statistical models that provide forecasting, prediction and prescriptive solutions that can be embedded into our software and workflows. Also in this role perform analytical studies to provide business insight and enable better data-based decisions. These solutions will enable Pratt & Whitney to continually push the state of the art in gas turbine engine repairs and reduce the cost of maintaining our parts, components, and engines.

Responsibilities:

• Leverage ASE’s aftermarket data to provide insights and better decision making
• Define, prototype, test, deploy and monitor machine learning and statistical models to provide predictions and forecasts
• Build Qlik/PowerBI dashboards
• Mentor, train and hire new team members
• 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
• Collaborate with other team members and stakeholders to identify improvement opportunities
• Manage time effectively to meet project deadlines

Required Qualifications:

• S. degree in Data Science, Engineering, Mathematics, Statistics with a minimum of 5 years of experience
• 3+ years SQL experience
• 3+ years’ experience building machine learning/statistical models

Preferred Qualifications:

• Experience with Amazon Web Services(AWS)
• Experience developing in Python
• Experience developing PowerBI/Qlik dashboards
• Experience with text mining
• Strong learner who is comfortable learning new libraries and frameworks
• Experience working in an agile environment
• Good communication skills and working as a team player
• Possesses excellent judgement and professional maturity
• Provides creative solutions