Data Scientist

Job Description

The Staff Data Scientist plays a pivotal role in embedding intelligent agents into the very fabric of our product strategy. We believe that agentic AI is a cornerstone of our future offerings, driving innovation across our three key portfolios: safety, sustainability, and performance. In this role, you will guide the development and integration of agent-based solutions, ensuring they become a natural and powerful element of how we deliver value to our customers.

• Lead the vision, strategy, and execution of enterprise-scale data science and AI initiatives, with emphasis on agentic AI solutions that deliver measurable business value.
• Architect, develop, and deploy advanced AI/ML models and intelligent agent systems, ensuring scalability, interpretability, and alignment with organizational priorities.
• Drive cross-functional adoption of AI capabilities by influencing product roadmaps, setting technical standards, and ensuring consistent integration across portfolios.
• Partner with executive leadership to identify and prioritize high-impact AI opportunities that align with corporate goals in safety, sustainability, and performance.
• Serve as a principal technical authority and mentor for senior data scientists, fostering a culture of innovation, ethical AI use, and technical excellence.
• Translate complex AI concepts into actionable strategies for non-technical stakeholders, enabling informed decision-making at all levels.
• Lead design and implementation of enterprise-grade data architectures, pipelines, and platforms that enable rapid experimentation and deployment.
• Oversee the development and governance of AI/ML model lifecycle management, from prototyping through monitoring and continuous improvement.
• Collaborate with industry partners, academic institutions, and technology providers to bring cutting-edge AI techniques into production environments.
• Ensure all AI-driven solutions meet rigorous standards for data quality, fairness, transparency, and regulatory compliance.
• Direct the evaluation and integration of emerging AI tools, frameworks, and methodologies, including generative AI and large language models.
• Champion Agile and iterative delivery practices tailored for AI/ML development, ensuring rapid feedback and continuous learning.
• Generate intellectual property through novel AI approaches, patents, and publications that position the organization as a thought leader.
• Lead post-deployment analysis to measure the impact of AI initiatives and guide future investments. Develop and deploy scalable and interpretable data products per the business-defined requirements.

• Required – At least 6 to 8 years of experience in data science, computer science, information systems, engineering, or other relevant fields, including a proven track record in applied AI and machine learning.
• Preferred – 1+ years of experience specifically in agentic AI or similar emerging agent frameworks.
• Required – Bachelor’s degree in data science, computer science, information systems, engineering, or a closely related field.
• Preferred – Master’s Degree in Data Science, Data Analytics, Information Systems, Computer Science, Engineering, or a closely related field.

• Demonstrated mastery in developing and deploying agentic AI solutions and a proven track record of integrating AI-driven agents into large-scale products.
• Expert-level proficiency in machine learning, statistical modeling, and AI frameworks, including but not limited to Python, PyTorch, and Azure AI services.
• Strong capability to lead and mentor senior data scientists and cross-functional teams in AI best practices and ethical AI deployment.
• Ability to translate complex AI and data science concepts into actionable business strategies and clear recommendations for non-technical stakeholders.
• Advanced experience with generative AI and large language models, and the ability to leverage these technologies to create scalable, interpretable, and business-aligned AI solutions.
• Strong proficiency in designing and overseeing complex data architectures and pipelines, ensuring robust data…