Experienced Data Scientist

Experienced Data Scientist

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, and leverage 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 thrives 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.
 

Job Description

At Boeing, we are all innovators on a mission to connect, protect, explore and inspire. From the seabed to outer space, you’ll learn and grow, contributing to work that shapes the world. Find your future with us.

The Boeing Company is looking for an Experienced Data Scientist who can play lead role in developing and building next generation AI & ML products and services.

As part of the core data science group, candidate will lead project teams in developing innovative, reusable, and scalable solutions. This position will work effectively with cross-functional teams and technical leads to determine, define, and deploy analytics solutions to meet business goals.

At Boeing, we are already making a difference across the industry using AI and Machine Learning to deliver superior product experience to our internal functions and commercial and government customers. We are expanding and growing in all areas in the frontier of the aerospace industry. We already have some of the best minds and talent in this field, and we’re looking for someone with applied experience in AI and ML (including Natural Language Processing, Deep Learning, Conversational A.I, and Computer Vision) to join our team in this lead data scientist role. 

This role is based out of Bengaluru, Karnataka, INDIA.

Position Responsibilities:

• Evaluate business objectives, determine stakeholder needs, and identify requirements. Choose best fit methods, define algorithms, validate, and deploy models to achieve business results. Perform necessary data preparation and enhancements to models.
• Responsible for development & delivery of core data science and analytics solutions. Candidate should have strong expertise in statistics, AI and ML theories/concepts, and good domain expertise (either in Aircraft Operations, Engineering, supply chain, sales or Manufacturing), completely understands and applies job practices, techniques, standards, principles, theories, and concepts.
• Strong programming skills in Python/Java. Should have worked minimum of 5+ years in image processing and computer vision or related domain.
• Candidate will interface directly with senior business leaders and stakeholders to architect and lead the development of advanced analytics solutions supporting Aircraft operations, Engineering, Manufacturing, Quality, and Safety.
• Candidate will work with data scientist leads across domains to ensure functional excellence in this technical field and will provide mentoring, technical leadership, and training to the data scientist community to accelerate and develop this talent base. In particular, candidate will provide thought leadership for machine learning and advanced analytics methods at Boeing and externally.
• Candidate will actively engage with stakeholders across the business to identify applications across the enterprise, beyond the initial use case, and lead the implementation of these applications to capture business value.
• Candidate will evaluate technologies, assist in identifying capabilities gaps, develop and teach best practices and technology standards, and work alongside the rest of the global data scientists and technical leads in Analytics organization.
• Candidate will have a stake in ensuring analytics solutions meet the business requirements and are implemented in a timely manner to validate business value.

ML/AI Models Development:

• Work effectively with cross-functional teams in the analysis of highly complex data sets using advanced analytics techniques such as machine learning, advanced statistical analysis, visual analysis, text analysis, mathematical optimization, and simulation. Identify modeling attributes and parameters.
• Follow best practices and standard processes for model validation and refinement as per business requirements.
• Assess performance of models and analysis and confirm that business objectives were met. Work with business unit stakeholders to develop and sustain analytics solutions.

Employer will not sponsor applicants for employment visa status.
 

Basic Qualifications (Required Skills/Experience):

• 5+ years of relevant work experience as Data Scientist in core areas of computer vision, NLP, GenAI.
• Experience in various machine learning method such as regression, clustering, classification, decision trees, natural language processing, ensemble methods, SVM, deep learning, reinforcement learning, etc.
• Experience with machine learning related open source libraries including, but not limited to: SciKit-Learn, Keras, TensorFlow, Theano, etc.

Preferred Qualifications (Desired Skills/Experience):

• Experience in agile and product-oriented development.
• Up-to-date industry and experience in building ML models and bring in to full production use.
• Background in developing customer-facing experiences, a strong technical ability, excellent project management skills, great communication skills, and a motivation to achieve results in a fast paced production environment
• Experience training machine learning models in a cloud computing environment such as: Amazon Web Services, Google Cloud Platform, Microsoft Azure, etc.
• Programming experience in one or more of the following: C, C++, Java, Python, Scala.
• Experience with statistical software (e.g., R, MATLAB) and database languages (e.g., SQL).
• Experience and knowledge in DevOps for Data Science.
• Strong team player and passion to execute projects with a focus on customer and value.
• Knowledge of advance statistics (probability theory and distributions, descriptive statistics, matrix algebra, multivariate statistics, polynomial analysis, parametric and non-parametric methods, etc.)

Typical Education & Experience:

• Typically, 8 or more years’ related work experience or relevant military experience. Advanced degree (e.g. Bachelor, Master, etc.) preferred, but not required.

Relocation:

This position does offer relocation within INDIA. 

Language Requirements:

Not Applicable

Education:

Not Applicable

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)