Data Scientist

Role Overview: A Data Scientist in Delivery responsible for transforming advanced engineering data into practical AI-driven solutions. Key Responsibilities: Pre-process and analyze data; develop deep learning models with optimization techniques; build reliable, scalable data pipelines; ensure seamless integration with simulations; collaborate closely with engineers and customers; contribute to R&D and product development; communicate technical insights; and travel to customer sites globally. Qualifications & Skills: Minimum 1 year industry experience post-Master's or PhD; proficiency in Python and libraries like NumPy, SciPy, Pandas, TensorFlow, and PyTorch; strong foundation in data-driven modeling, probabilistic methods, and predictive modeling; ability to deploy production models; ownership mindset; excellent communication skills. Key Attributes: Problem solver, builder, quick learner, collaborative, and impact-driven. This role offers opportunities for growth as an individual contributor or technical lead, with a focus on impactful, real-world engineering solutions.