Senior Data Scientist

Job Description

At Boeing, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

Senior Data Scientist

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 diverse 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) in India is leveraging a diverse talented pool of 5,500+ engineers, technologists, and innovators to drive growth and innovation in the global aerospace sector These engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets in traditional and emerging areas, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, to enhance quality, safety, and productivity for airline customers, shaping the future of aerospace in India for India, and the world.

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 diverse 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.

At Boeing, we are inclusive, diverse, and transformative.

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 Summary

Senior Data Scientist responsible for development & delivery of core data science and analytics solutions. Candidate should have strong expertise in statistics, GenAI pipeline creation, AI and ML theories/concepts, and good domain expertise (either in Engineering, supply chain, sales, or Manufacturing), completely understands and applies job practices, techniques, standards, principles, theories, and concepts. Strong programming skills in Python/Java.

Job Description

The Boeing Company is looking for a Senior 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.
• Candidate will interface directly with senior business leaders and stakeholders in order to architect and lead the development of advanced analytics solutions supporting 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):

• A Bachelor’s degree or higher is required as a BASIC QUALIFICATION
• A Bachelor's degree in a quantitative/technical field (e.g. science, economics, quantitative finance, operations research, statistics, mathematics, or similar information technology field of study).
• 5+ years of relevant work experience as Data Scientist in core areas of computer vision & image processing.
• Overall work experience of 13+ years post Bachelor’s degree or 12+ years post Master’s degree or 9+ post PhD.
• 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 MLops 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.)
• Master’s or Ph.D. in a quantitative/technical discipline (e.g. computer science, economics, quantitative finance, operations research, statistics, mathematics, or related field of engineering).

Relocation: This position offers relocation based on candidate eligibility within INDIA Export Control Requirements: Not an export control position

Equal Opportunity Employer:

We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.

We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.