Lead Applied Mathematician

Lead Applied Mathematician

Company:

Boeing India Private Limited

Overview

As a leading global aerospace company, Boeing develops, manufactures, and services commercial airplanes, defense products, and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability, and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality, and integrity.

Technology for today and tomorrow

The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, leveraging new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace.

People-driven culture

At Boeing, we believe creativity and innovation thrive when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing.

With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace.

Position Overview:

As a Lead Applied Mathematician, you will play a key role in developing advanced mathematical models, algorithms, and computational techniques to solve real-world engineering challenges in Flight Operations and Crew Management systems, and Airline operations. You will collaborate with multidisciplinary teams and contribute to projects that drive innovation, ensure operational excellence, and create value for our customers.

As an Applied Mathematician at Boeing India, you will contribute to developing innovative solutions by leveraging advanced mathematical techniques in areas like optimization, computational modeling, data science, and artificial intelligence.

Position Responsibilities:

• Mathematical Modeling and Analysis: Develop, refine, and implement mathematical models to analyze and predict the behavior of complex Crew Management systems and operational scenarios. 

• Algorithm Design and Optimization: Design efficient and scalable algorithms for solving advanced engineering problems, such as optimization, machine learning, Airline and Crew Operations, and real-time simulations. 

• Data Analysis and Interpretation: Apply statistical, probabilistic, and computational techniques to extract insights and solve problems using large datasets from testing, production, and operational environments. 

• Collaborative Problem Solving: Work closely with Product leaders, engineers, scientists, and business analysts to translate technical challenges into mathematical frameworks and provide actionable solutions. 

• Innovation and Research: Stay abreast of emerging mathematics and computational technologies, trends, and methods, and contribute to Boeing’s innovation agenda through research and thought leadership. 

• Validation and Testing: Develop and execute rigorous validation and testing protocols for mathematical models and algorithms, ensuring accuracy, reliability, and robustness. 

Basic Qualifications:

• A Master’s / Doctorate degree in Applied Mathematics, Computational Science, Engineering, Physics, Data Science, or a related field.

• Minimum of 8+ years of industry or academic experience applying advanced mathematical techniques to engineering or industrial problems. 

• Extensive knowledge of mathematical domains such as numerical analysis, optimization, statistical modeling, and linear algebra. 

• Strong programming skills (e.g., Python, MATLAB, R, C++, or similar) for algorithm implementation and computational modeling. 

• Proven ability to solve complex, multidisciplinary problems using rigorous mathematical methods. 

Preferred Qualifications:

• Experience working on aerospace, aviation, or defense-related projects. 

• Familiarity with finite element analysis (FEA), computational fluid dynamics (CFD), or control system algorithms. 

• Expertise in big data analysis, predictive modeling, or machine learning applications. 

• Experience with software development, version control systems, and simulation tools. 

• Ability to work in a collaborative, fast-paced, and dynamic environment, adapting to new challenges and priorities effectively.

• Experience or strong interest in the aviation industry, particularly in areas such as Flight Planning, Operations and Crew Management Systems is an added advantage.

Typical Education & Experience:

• A Master’s / Doctorate degree in Applied Mathematics, Computational Science, Engineering, Physics, Data Science, or a related field, with 8+ years of industry or academic experience applying advanced mathematical techniques to engineering or industrial problems

Relocation:

• This position offers relocation based on candidate eligibility.

Language Requirements:

Not Applicable

Education:

Master's Degree or Equivalent

Relocation:

This position offers relocation based on candidate eligibility.

Security Clearance:

This position does not require a Security Clearance.

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award

Shift:

Not a Shift Worker (India)