Principal Specialist, Data Science and Advanced Analytics

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Who We Are:

At RTX the worlds largest aerospace and defense company 185000 great minds are united by purpose and inspired to make a difference solving the worlds most complex problems. With our three market leading businesses world-class operations and investments in research and development we offer capabilities and opportunity no one else can. Together we push the boundaries of known science and find new ways to connect and protect our world.

Pratt & Whitney is a world leader in the design manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join us and help shape the future of aerospace and defense.

Why join our team

You will collaborate with a team of specialists and report to the Senior Manager Data Science & Advanced Analytics Global Operations. This team includes several branches (data governance data science solution delivery AI lab).

In this role you will work closely with Operations business units and the Digital Technology team to implement and support data science analytics and digital solutions related to data that improve efficiency reliability and decision-making in operations.

You will join a team that applies industry best practices in data science and engineering from structured development workflows in Azure DevOps to version control automated testing and CI/CD pipelines. We believe in doing things the right way the first time: clean reproducible code strong documentation and collaborative reviews are at the core of how we work.

By joining our multidisciplinary team of data scientists data analysts and software developers you will contribute to projects that directly support manufacturing logistics maintenance and operational performance. Youll also develop your skills in data storytelling presentation and solution delivery ensuring that analytics translate into measurable improvements for our colleagues.

With our modern tech stack including Databricks Spark Azure DevOps Power BI Python and SQL youll work in an environment where innovation collaboration and professionalism are at the heart of everything we do.

The position is based in India Monday to Friday currently with hybrid work arrangement.

What You Will Do:

• Design deploy and maintain interactive dashboards and reports (e.g. in Power BI) to support data-driven decision-making and improve business unit performance
• Design deploy and maintain data flows and pipelines to improve the efficiency of reporting data products and analytics solutions
• Collect clean and transform data from multiple sources to ensure high-quality reliable datasets
• Conduct exploratory data analysis to identify trends patterns and opportunities
• Work closely with stakeholders to translate business needs into analytics solutions
• Deliver data storytelling and presentations that clearly communicate insights to non-technical audiences
• Apply basic statistical and machine learning techniques when needed to support forecasting or optimization projects with our data scientists
• Practice disciplined software engineering (e.g. automated testing code reviews and writing pragmatic code) and write technical documentation

Qualifications You Must Have:

• Bachelors degree with 5-8 years of experience in data science analytics business intelligence statistics computer science software engineering or a related field
• Masters degree in data science analytics business intelligence artificial intelligence or a related field
• Ability to work in a team and communicate effectively
• Ability to translate complex data into clear actionable insights for business stakeholders
• Understanding of data governance data quality and best practices for building trust in analytics
• Proven programming skills Python Spark SQL
• Knowledge of software and platforms Databricks Power BI Azure DevOps Git Confluence
• Knowledge of Agile and DevOps methodologies

Shift: EST (4:30 PM to 1:30 AM)

Location: Bengaluru

RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity color religion gender sexual orientation or identity national origin age disability protected veteran status or any other characteristic protected by law.

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