Scientist, Data Research

In this role, you will

• Conduct independent research and develop and validate advanced ML/AI, and predictive analytics solutions to address complex operational and business challenges.
• Collaborate with BTS, Operations, Engineering, and external research partners to translate business opportunities and technical challenges into practical, data-driven solutions.
• Analyze large, complex, and diverse datasets to identify trends, risks, performance drivers, and opportunities for operational optimization and value creation.
• Develop and apply mathematical models, process simulations, optimization algorithms, digital twins, and advanced decision-support tools.
• Create clear and compelling visualizations, technical reports, and presentations that effectively communicate methodologies, assumptions, findings, limitations, and recommendations.
• Support the pilot testing, implementation, monitoring, and continuous improvement of analytical models and AI-enabled solutions within operational environments.
• Lead innovation initiatives from concept development and proof-of-concept through pilot execution, technology validation, and operational deployment.
• Support technology strategy development, research collaborations, intellectual property generation, and long-term technology roadmaps.
• Communicate technical insights and recommendations effectively to both technical specialists and leaderships, enabling informed decision-making and technology adoption.

Required

• PhD in data science, engineering, computer science, applied mathematics, or a related discipline;
• four to eight years of combined academic research and industry experience developing advanced data models, AI solutions, ML applications, simulation tools, or computational analytics;
• expert proficiency in Python and modern AI/ML frameworks and libraries, including PyTorch, TensorFlow, SciPy, and related data science ecosystems