Associate Data Scientist

3 weeks ago

Bengaluru, India BOEING Full time

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.

**Overview**

Boeing is the world’s largest (Per Boeing LinkedIn page) aerospace company and a leading provider of commercial airplanes, defense, space, and security systems, and global services. Building on a legacy of over a century of innovation and leadership, Boeing continues to lead the way in technology and innovation, customer delivery, and investment in its people and future growth of aerospace.

In India, Boeing has been a strong partner to the Indian aerospace and defense sectors for more than 75 years. People at Boeing have been supporting mission readiness and modernization of India’s defense forces, and enabling connected, safer, and smarter flying experiences, in the sky, in the seas, and in space.

**Technology for today and tomorrow**

The Boeing India Engineering & Technology Center (BIETC) is a 3000+ diverse 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 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.**

**Roles & 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.

**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.
- Develop end to end ML Pipeline in GCP, should have good understanding of GCP machine learning model deployment, orchestration, pipeline creation & model monitoring.

**Basic Qualifications (Required Skills/Experience)**:

- A Bachelor's degree in a quantitative/technical field (e.g. engineering, science, economics, quantitative finance, operations research, statistics, mathematics, or similar information technology field of study).
- 2+ years of relevant work experience as Data Scientist in core areas of computer vision & image processing.
- Overall work experience of 5+ years post Bachelor’s degree or 3+ years post Master’s degree
- 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.
- Strong expertise on Python development, database, Hadoop, GCP (google cloud platform) machine learning model deployment

**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,

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