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Data Scientist, Staff

American Bureau of Shipping (ABS)

Houston, Texas

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JOB DETAILS
SKILLS
Agile Programming Methodologies, Analysis Skills, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Artificial Intelligence (AI) Programming Languages, Best Practices, Business Strategy, Computer Science, Continuous Improvement, Cross-Functional, Data Analysis, Data Management, Data Quality, Data Science, Entrepreneurship, Establish Priorities, Information Technology & Information Systems, Intellectual Property (IP), Leadership, Machine Learning, Mentoring, Microsoft Windows Azure, Modeling Languages, Patents, Product Planning, Product Strategy, Production Systems, Prototyping, Publications, Python Programming/Scripting Language, Regulatory Compliance, Requirements Management, Scalable System Development, Software Agents, Statistical Modeling, Sustainability, Systems Engineering, Systems Scalability, Thought Leadership
LOCATION
Houston, Texas
POSTED
2 days ago
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.

What You Will Do:
  • 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.
What You Will Need:

Education and Experience
  • 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.
Knowledge, Skills, and Abilities
  • 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 governance and quality.
  • Proven ability to drive innovation and generate intellectual property through the application of novel AI techniques.
  • Ability to stay at the forefront of the field by continuously learning and applying the latest advancements in AI and data science.
  • Display an entrepreneurial mindset and the ability to devise practical, out-of-the-box solutions to complex business challenges.
  • Establish organizational AI governance frameworks th

About the Company

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American Bureau of Shipping (ABS)

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