AI Data Specialist (Remote)
MATCHA.COM · Los Angeles, CA
This listing has closed — view similar roles below.
- Hybrid
- Full-time
- $110,000 / year
- Los Angeles, CA
Job highlights
- Transform data into actionable insights and intelligent systems.
- Design data models and AI tools for decision-making.
- Develop AI for forecasting, inventory, and customer analysis.
- Collaborate across operations, logistics, sales, and marketing.
- Ensure data accuracy and establish best practices.
About the role
About the Role
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.
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.
Key skills/competency
- Data Modeling
- Data Visualization
- Machine Learning
- Python
- SQL
- Predictive Analytics
- Data Analysis
- AI Tools
- Data Governance
- Statistical Modeling
Skills & topics
- AI Data Specialist
- Data Science
- Machine Learning
- Python
- SQL
- Predictive Analytics
- Data Analysis
- Data Modeling
- Data Visualization
- Remote
How to get hired
- Tailor your resume: Highlight your 4-8+ years of experience in data science, analytics, or machine learning, emphasizing proficiency in Python, SQL, and data visualization tools.
- Showcase practical AI application: Detail real-world projects where you've applied machine learning or AI models to solve business problems and improve efficiency.
- Demonstrate analytical skills: Provide examples of how you've worked with imperfect datasets, structured information clearly, and translated complex data into actionable business insights.
- Express collaboration capabilities: Emphasize your experience working cross-functionally and communicating technical insights to non-technical stakeholders.
- Follow application instructions carefully: Ensure your resume is sent to hr@matcha.com and bianca_cr@matcha.com with the specified email subject line.
Technical preparation
Master Python and SQL for data manipulation.,Build and present data models and visualizations.,Implement machine learning models for business cases.,Practice analyzing imperfect or evolving datasets.
Behavioral questions
Describe a time you derived insights from messy data.,How do you communicate technical findings to non-experts?,Share an experience improving efficiency with AI/ML.,How do you handle ambiguity in data projects?
Frequently asked questions
- What are the primary responsibilities of an AI Data Specialist at Matcha.com?
- As an AI Data Specialist at Matcha.com, your primary responsibilities will include structuring and analyzing operational, customer, and supply chain data, designing data models and dashboards, developing AI-powered tools for forecasting and automation, and collaborating with various departments to drive data-informed decisions.
- What technical skills are essential for the AI Data Specialist role at Matcha.com?
- Essential technical skills for this role include proficiency in Python and SQL, experience with data visualization tools like Tableau or Power BI, a strong understanding of statistical modeling, predictive analytics, and machine learning, and the ability to work with large and imperfect datasets.
- Is the AI Data Specialist position at Matcha.com remote, and are there location restrictions?
- Yes, the AI Data Specialist position at Matcha.com is a remote role and is open to candidates located in all 50 states within the United States.
- How many years of experience are typically required for the AI Data Specialist position?
- Matcha.com typically looks for candidates with 4 to 8 years of experience in data science, analytics, or machine learning for the AI Data Specialist role.
- What is the application process for the AI Data Specialist job at Matcha.com?
- To apply for the AI Data Specialist position, you should send your resume to hr@matcha.com, cc'ing bianca_cr@matcha.com. Ensure your email subject line is formatted as '[Your Name] - AI Data Specialist'.
- How does Matcha.com leverage AI and machine learning in this role?
- Matcha.com leverages AI and machine learning through this role to improve business operations by developing tools for demand forecasting, inventory planning, operational reporting, and customer behavior analysis, aiming to enhance decision-making speed and accuracy.
- What kind of data will an AI Data Specialist work with at Matcha.com?
- An AI Data Specialist at Matcha.com will work with a variety of internal datasets, including operational data, customer data, supply chain data, sales figures, marketing performance metrics, and logistics information.