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
Customer purchasing behavior
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 5. 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)
data visualization tools (Tableau, Power BI, Looker, etc.)
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 Skills & Competencies
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: hr@matcha.com (must cc: bianca_cr@matcha.com) Email Subject: [Your Name] - AI Data Specialist