Logistics Data Scientist

Key Responsibilities

• Works in cross-functional project teams as a subject matter expert to design and develop advanced AI-driven solutions leveraging structured and unstructured big data sources.
• Partners with BI and analytics teams to align AI initiatives with business goals and ensure seamless integration into dashboards and reporting workflows.
• Develops and implements AI/ML models, including generative AI, LLM-based applications, and retrieval-augmented generation (RAG) pipelines.
• Builds and optimizes LangChain, LangGraph, and similar frameworks for orchestration of large language models and intelligent agents.
• Performs ad-hoc statistical and data-mining analysis using tools such as Python, R, SAS, MATLAB, and SQL; designs scalable data acquisition systems and architectures.
• Creates automated workflows for data ingestion, cleansing, integration, and evaluation of large datasets.
• Interfaces with internal customers for requirements analysis and compiles data for scheduled or special reports and analysis.
• Generates internal and external documentation, dashboards, presentations, and technical reports for stakeholders.
• Explores emerging technologies and frameworks to drive innovation in AI engineering and advanced analytics.
• Serves as a resource and provides guidance to team members on AI engineering best practices, data science methodologies, and cutting-edge tools.

Functional KnowledgeDemonstrates conceptual and practical expertise in data science, AI/ML engineering, and LLM orchestration frameworks, with basic knowledge of related disciplines such as software engineering and business analytics.

Business Expertise

Has knowledge of best practices and how AI and data science integrate with business operations; is aware of competitive trends and emerging technologies shaping the industry.

Leadership

Acts as a resource for colleagues with less experience; may lead small AI-focused projects with manageable risks and resource requirements.

Problem Solving

Solves complex problems using innovative approaches; takes a new perspective on existing solutions; exercises judgment based on analysis of multiple sources of information.

Impact

Impacts a range of customer, operational, project, or service activities within own team and other related teams; works within broad guidelines and policies.

Interpersonal Skills

Explains difficult or sensitive information clearly; works to build consensus across teams.

Education & Experience

• Education: Bachelors Degree (Masters preferred in Data Science, AI/ML, Computer Science, or related field)
• Experience: 4-7 years in data science, AI/ML engineering, and advanced analytics.

Preferred Skills

• Proficiency in Python, R, SQL, and experience with big data platforms (e.g., Spark, Databricks).
• Hands-on experience with LangChain, LangGraph, and orchestration of LLM-based applications.
• Familiarity with cloud environments (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Strong understanding of AI/ML frameworks (TensorFlow, PyTorch) and prompt engineering.
• Knowledge of retrieval-augmented generation (RAG), vector databases, and API integrations.
• Excellent communication and stakeholder management skills.
• A curious, experimental mindset with passion for exploring emerging technologies.