Data Scientist I

About Odyssey Logistics
Odyssey Logistics is a global logistics and supply chain partner helping businesses optimize performance through fully integrated, end-to-end solutions. We connect transportation, technology, and expertise across a broad network of services including 3PL and 4PL managed services, multimodal and intermodal transport, warehousing, trucking, Jones Act Ocean, and customs brokerage, ensuring goods move reliably, efficiently, and intelligently around the world.
Today, Odyssey supports more than 6,000 customers globally, delivering scalable, data driven solutions across complex supply chains. What started with a single client has grown into a dynamic, evolving organization focused on performance, precision, and long-term partnership.

What Sets Us Apart:
Our work is complex, fast moving, and highly collaborative. Success here requires people who think strategically, operate with urgency, and navigate across functions to solve real business challenges. We value individuals who take ownership, challenge the status quo, and turn insight into action.
Our culture is grounded in five core values: Win Together, Innovate Boldly, Drive Results, Customer Centric, and Guide with Care. These are not just principles; they shape how we make decisions, partner with customers, and show up for each other.

The Role:
All applicants must be currently authorized to work in the United States. No relocation allowance will be considered unless specifically addressed.
Work Model: Hybrid
Supervisory Responsibilities: Yes
Reports to: Manager, Data Science

Summary: Seeking a highly analytical, innovative, and research-driven Data Scientist to lead the research, design, development, and implementation of advanced artificial intelligence, machine learning, optimization, and geospatial analytics solutions. This role drives end-to-end applied research initiatives, translating cutting-edge modeling approaches into scalable, production-ready systems that solve complex business challenges in logistics and supply chain. The ideal candidate combines deep technical expertise with strong business acumen to provide technical leadership, mentor junior team members, and shape AI-enabled decision-making.

What You’ll Do
• Lead applied research, design, and implementation of advanced AI, machine learning, and spatial-analytics solutions—including Generative AI, predictive modeling, and intelligent automation—to solve complex supply-chain challenges.
• Drive end-to-end applied research cycles: problem framing, data exploration, feature engineering, rigorous experimentation, validation, and deployment support.
• Lead rigorous analytical experimentation to evaluate algorithms, compare methodologies, analyze errors, and identify the most effective approaches for operational use cases.
• Leverage geospatial intelligence and spatial-temporal analysis to support advanced modeling in routing, territory design, network optimization, and service performance improvement.
• Develop and deploy intelligent AI-powered systems to forecast demand, improve pricing strategies, optimize asset utilization, and enhance overall business efficiency.
• Establish robust model evaluation, monitoring, and explainability frameworks to ensure algorithms remain accurate, reliable, and responsive to dynamic logistics environments.
• Translate complex technical research and advanced analyses into clear, actionable business recommendations through dashboards, reports, and stakeholder communication.
• Provide technical leadership in the architecture of analytical products, collaborating with engineering teams to design internal AI applications, automation tools, and knowledge-based systems.
• Proactively stay current with advancements in artificial intelligence, deep learning, and optimization, applying state-of-the-art research methods to drive operational excellence.
• Document methodologies, model architectures, assumptions, and implementation processes to support reproducibility, transparency, and long-term scalability.
• Provide technical mentorship to junior data scientists, support the hiring and onboarding processes, and contribute to a culture of innovation through team knowledge-sharing and peer reviews.

What You Bring
• Degree in Data Science, Computer Science, Engineering, Statistics, Artificial Intelligence, or a related quantitative field (PhD preferred).
• 3+ years of experience applying data science, advanced AI, predictive/prescriptive analytics, and intelligent systems development in enterprise, operational, or supply chain domains.
• Strong background in deep learning architectures, including experience with neural network-based modeling approaches for forecasting, classification, sequence modeling, and recommendation systems.
• Experience conducting applied research, exp