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\xe2\x80\x99re committed to fostering an environment for every teammate that\xe2\x80\x99s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.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\xe2\x80\x99s diverse team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company\xe2\x80\x99s 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. 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 diverse perspectives and thoughts \xe2\x80\x93 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\xe2\x80\x99s 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.Boeing team is currently looking for an Experienced Data Engineer to join their team in Chennai, India. This position will focus on supporting the Boeing Global Services (BGS) business organization.As a Data Scientist specializing in NLP, you will be at the forefront of developing and implementing advanced algorithms and models to extract valuable insights from unstructured data. This role requires proficiency in NLP, machine learning, SQL, and Python, along with strong collaboration skills to work effectively with cross-functional teams.Position Responsibilities:

• Collaborate with cross-functional teams to understand data requirements and business objectives.
• Retrieve, clean, and preprocess data from various sources to ensure accuracy and reliability.
• Utilize Excel to organize, analyze, and visualize data in a meaningful way, presenting findings to stakeholders.
• Data Preprocessing and Cleaning: Ensure the quality and accuracy of large volumes of structured and unstructured data using SQL.
• Feature Engineering: Create relevant features from raw data using Python and SQL to enhance model performance.
• Knowledge of machine learning and deep learning, particularly in the context of NLP is required.
• Develop and implement cutting-edge NLP models for tasks such as sentiment analysis, text classification, named entity recognition, and topic modeling.
• Model Evaluation and Optimization: Conduct thorough testing and evaluation of NLP models, iterating on improvements based on performance metrics.
• Collaborate in the design and implementation of data collection systems, ensuring high-quality data capture.
• Stay updated on industry trends and best practices in data analysis and eCommerce. Keep abreast of the latest developments in NLP, machine learning, and artificial intelligence.
• Excellent problem-solving and critical-thinking skills.
• Strong communication and collaboration skills.

Basic Qualifications (Required Skills/Experience):

• A four-year Bachelor\'s degree or higher is required as a Basic Qualification.
• Minimum of 10+ year of professional experience, preferably in the eCommerce domain.
• Strong proficiency in Python and SQL for data manipulation, analysis, and model development.
• Familiarity with NLP libraries and frameworks, such as NLTK, SpaCy, or TensorFlow.
• Solid understanding of machine learning principles, algorithms, and statistical models.

Preferred Qualifications (Desired Skills/Experience):

• A four-year Bachelor\'s degree or higher is required

Typical Education/Experience:
Education/experience typically acquired through advanced technical education (e.g. Bachelor) and typically 10 or more years\' related work experience or an equivalent combination of technical education and experience (e.g, Master\xe2\x80\x99s + 9 Years of experience).Relocation:
This position offers relocation.Export Control Requirements: Not an export control positionEqual 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\xe2\x80\x99s most innovative, diverse and inclusive companies. We are proud members of the 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.

Boeing