Data Scientist I

Odyssey Logistics is a global logistics and supply chain partner helping businesses optimize performance through fully integrated, end-to-end solutions. 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.

Requirements

• 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, experimentation, and model benchmarking, including algorithm comparison, performance evaluation, error analysis, and iterative model improvement
• Strong proficiency in building advanced machine learning and statistical models using Python, SQL, and modern frameworks (e.g., PyTorch, TensorFlow, Scikit-learn)
• Experience with geospatial analytics and spatial data science methods, including working with tools such as PostGIS, QGIS, ArcGIS, or GeoPandas
• Hands-on experience with scalable experimentation, feature engineering, and data preparation using large-scale datasets in modern cloud-based environments (e.g., Databricks, AWS, Azure, GCP, MLflow)
• Demonstrated experience with Generative AI, large language models (LLMs), intelligent automation, and optimization methods (e.g., simulation, forecasting, decision science)
• Proficient in querying, manipulating, and wrangling complex datasets to support pipeline development. Knowledge of business intelligence tools (e.g., Sigma Computing, Power BI, Tableau) to support visual storytelling, continuous performance monitoring, and business adoption
• Deep understanding of model monitoring, explainability, reproducibility, data governance, and responsible AI practices
• Strong analytical and communication skills, with a demonstrated ability to convey advanced technical research and methodology to both technical and non-technical stakeholders
• Proven ability to lead technical initiatives, mentor team members, and work collaboratively in cross-functional teams (research publications or peer-reviewed work is a plus)

Benefits

• A choice of medical plans with FSA and HSA options
• Dental Insurance
• Vision Insurance
• Company-paid Life and Disability Insurance
• 401(k) Plan with Company Match
• Paid Time Off (PTO) and Company Holidays
• Employee Assistance Program
• Company Health & Wellness Program
• Discounts with Preferred Vendors