AI Data Specialist (Remote)

The AI Data Specialist will be responsible for turning Matcha.com’s growing operational, customer, and supply chain data into actionable insights and intelligent systems. This role will design and implement data models, dashboards, and AI-driven tools that help leadership make faster, better decisions across inventory, logistics, customer behavior, marketing performance, and operational forecasting. The ideal candidate is both analytical and pragmatic; someone who can work with imperfect datasets, structure information clearly, and deploy practical AI solutions that improve efficiency and decision‑making across the company. This role is open to all 50 states. Responsibilities Data Infrastructure & Analysis Organize and structure internal datasets across operations, logistics, sales, and marketing. Build data models that provide clear visibility into: Inventory levels and allocation Sales and demand trends Operational performance Develop dashboards and reporting tools that allow leadership to quickly understand key metrics and trends. AI & Automation Development Identify opportunities where AI or machine learning can improve business operations. Develop AI-powered tools for: demand forecasting inventory planning operational reporting customer behavior analysis Build internal tools that automate repetitive data analysis tasks. Predictive Analytics Use statistical modeling and machine learning to predict: product demand trends inventory needs operational bottlenecks customer purchasing patterns Translate data outputs into clear recommendations that leadership can act on. Cross-Functional Collaboration Work closely with: Operations & Allocation - to improve inventory forecasting and allocation decisions Import/Export & Logistics - to analyze shipping timelines and operational performance Sales & Marketing - to evaluate customer behavior, retention, and campaign effectiveness Data Quality & Governance Ensure data accuracy and consistency across internal systems. Clean and normalize datasets from multiple sources. Establish best practices for data storage, access, and reporting. Qualifications 4–8+ years experience in data science, analytics, or machine learning Strong experience working with large datasets Proficiency in tools such as: Python SQL R (optional) Experience applying machine learning or AI models to real-world business problems Strong understanding of statistics, predictive modeling, and data analysis Experience working with imperfect or evolving datasets Strong analytical and problem-solving mindset Ability to translate complex data into clear business insights Comfortable working in fast-moving environments Systems thinker who enjoys building structure from messy data Clear communicator able to explain technical insights to non-technical stakeholders What “Good” Looks Like at Matcha Clear visibility into key operational and sales data across the company AI-driven tools that improve decision-making speed and accuracy Improved forecasting of demand and inventory needs Reduced manual reporting through automation Actionable insights that directly improve operational performance Please send your resume to: View email address on click.appcast.io (must cc: View email address on click.appcast.io) Email Subject: [Your Name] - AI Data Specialist #J-18808-Ljbffr