Applied AI & Data Science Engineer

Position Responsibilities

• Build AI-enabled tools, copilots, workflows, and internal applications using Azure OpenAI, Microsoft Copilot Studio, Python, APIs, document AI, retrieval-augmented generation (RAG), vector search, and agent frameworks.
• Develop solutions such as lease abstraction assistants, due diligence summarization tools, IC memo support, portfolio Q&A assistants, vendor onboarding automation, and internal knowledge systems.
• Apply applied data science techniques to analyze portfolio and operational data, including regression analysis, forecasting, time-series analysis, scenario modeling, sensitivity analysis, and predictive modeling to uncover business insights and risks.
• Develop lightweight business applications including internal web tools, workflow portals, data collection systems, decision support tools, automation workflows, and analytical dashboards through rapid prototyping and iteration.
• Partner directly with business stakeholders to understand workflows, identify pain points, translate needs into technical solutions, gather feedback, and drive adoption of tools into daily operations.
• Support decision-making across investments, asset management, and operations by analyzing performance drivers, market trends, leasing patterns, tenant behavior, and asset-level performance metrics.
• Build and iterate quickly on AI, automation, and analytics solutions with a focus on measurable business impact, adoption, and reduction in manual work.

Skills & Experience

• Strong proficiency in Python, SQL, APIs, data analysis, and statistical modeling.
• Experience with machine learning fundamentals, data visualization, and AI/LLM platforms.
• Familiarity with Azure, OpenAI, Anthropic, Power Platform, Snowflake, Postgres, Git, and modern cloud/data tools.
• Strong understanding of statistical methods including regression analysis, hypothesis testing, forecasting, time-series modeling, scenario analysis, and Monte Carlo simulation.
• Ability to build AI-enabled workflows, automation tools, and lightweight applications using modern development frameworks and APIs.
• Strong communication skills with the ability to translate technical concepts into business language and influence decision-making.
• High ownership mindset with strong curiosity, intellectual humility, and ability to operate in ambiguous environments.
• Comfort working directly with business users and iterating quickly based on feedback.

Company Overview

Dalfen Industrial is one of the largest privately held industrial real estate owner, operator, and developer platforms in North America. The firm manages over 55 million square feet across its portfolio, has completed over $7.8 billion in transactions, and operates across 9 offices. Dalfen is a vertically integrated platform focused on industrial real estate, with a strong track record of growth, execution, and operational scale. The organization is actively building a modern AI-enabled operating platform to transform how the business uses data, automation, and analytics across all functions. For additional information, please visit www.dalfen.com.