Senior Data Scientist - AI Practice Team jobs in United States
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American Bureau of Shipping (ABS) · 6 hours ago

Senior Data Scientist - AI Practice Team

American Bureau of Shipping (ABS) is seeking an exceptional Senior Data Scientist to join their Artificial Intelligence (AI) Practice Team. In this role, you will lead the design and delivery of analytics and machine learning solutions across various AI engagements, working with complex real-world datasets.

EnergyMarine TransportationNon ProfitRenewable EnergyShipping
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H1B Sponsor Likelynote

Responsibilities

Lead the preparation, exploration, and analysis of client data (tabular, time-series, and document-based) to enable robust modeling, feature engineering, and insight generation
Design, implement, and validate machine learning models and analytics pipelines, including problem framing, model selection, evaluation, and iteration for real-world performance
Drive advanced use of NLP and document understanding techniques to extract, transform, and enrich information from reports, PDFs, logs, and other unstructured sources
Build and maintain clear, impactful dashboards, reports, and visualizations (e.g., in Python, Power BI, or similar tools) to communicate findings to consultants and client stakeholders
Collaborate with consultants and domain experts to translate business problems into analytical solutions, articulate trade-offs, and present recommendations to technical and non-technical audiences
Ensure technical quality, reproducibility, and governance by establishing good practices for code, documentation, data management, and model tracking across projects
Mentor and support junior data scientists, providing guidance on methods, tooling, and best practices, and reviewing their work for quality and consistency

Qualification

Machine LearningPythonNLPData ScienceSQLCloud PlatformsData VisualizationStakeholder EngagementCommunication SkillsMentoring

Required

Bachelor's degree in a STEM discipline (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics) or related field; Master's degree preferred or equivalent experience
5+ years of experience applying data science and machine learning in professional settings, including end-to-end delivery of analytics/ML solutions
Proven track record working with real-world, messy datasets (including unstructured/document data) across the full lifecycle: data preparation, modeling, evaluation, and deployment handoff
Experience leading or owning significant workstreams within AI/ML or analytics projects, ideally in consulting, industrial, or asset-intensive environments
Practical experience working with cloud-based and modern data platforms (e.g., Azure, AWS, GCP, Databricks) and integrating with enterprise data sources and workflows
Deep proficiency in Python for data science (pandas, scikit-learn, and related libraries) and strong SQL skills for working with relational and analytical data stores
Strong grounding in statistics, machine learning, and model evaluation, including supervised/unsupervised methods, feature engineering, and performance diagnostics
Hands-on experience with NLP and document understanding (e.g., text preprocessing, embeddings, classification, information extraction, transformers/LLMs) applied to real datasets
Ability to design and implement robust, maintainable analytics and ML pipelines, using notebooks and production-ready code with Git-based version control
Familiarity with modern data and ML tooling (e.g., Databricks, MLflow, Docker, CI/CD for data/ML) and good practices for experiment tracking and reproducibility
Proficiency with BI/visualization tools (e.g., Power BI, Tableau) and data storytelling skills to communicate complex analytical results to non-technical stakeholders
Excellent communication and stakeholder engagement skills, with the ability to frame analytical approaches, explain trade-offs, and align solutions with business objectives
Proven ability to work across multiple projects, manage priorities, and operate in a fast-moving, consulting-style environment, while mentoring junior team members

Preferred

exposure to industrial, maritime, or asset-intensive domains, or prior experience in AI consulting or client-facing roles

Company

American Bureau of Shipping (ABS)

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Since its founding in 1862, ABS has been committed to setting standards for safety and excellence as one of the world’s leading ship classification organizations.

H1B Sponsorship

American Bureau of Shipping (ABS) has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (12)
2024 (11)
2023 (9)
2022 (19)
2021 (16)
2020 (27)

Funding

Current Stage
Late Stage

Leadership Team

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Patrick Ryan
Senior Vice President & Chief Technology Officer
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Stamatis Fradelos
VP of Regulatory Affairs
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Company data provided by crunchbase