Full-Stack Data Scientist / ML Engineer

About the job

A fast-growing consumer products company in Los Angeles, CA is seeking a Full-Stack Data Scientist / ML Engineer to own internal data infrastructure, AI automation, knowledge systems, and workflow optimization. This role will continue and expand the work of our current AI/data lead and will have direct impact across operations, sales, customer support, and product development. What You'll Do AI & Automation (Primary Focus) • Build and maintain internal AI agents that support quoting, product lookup, workflow automation, and exception handling. • Develop NLP systems to automatically parse customer inquiries, classify account types, and identify action routing. • Maintain and grow an internal LLM-powered knowledge base that captures business rules, supplier constraints, SKU attributes, and operational exceptions. Data Engineering & ETL Pipelines • Design and own production-grade ETL pipelines across CRM, accounting, supplier data, SKU catalogs, and operational datasets. • Build reliable data models that unify siloed systems, enabling high-quality analytics and automation. • Implement automated data-cleaning processes that support daily operations and decision-making. Internal Tools & Script Development • Develop Python tools and micro-automations for pricing logic, invoice workflows, sample handling, customer communication, and data synchronization. • Create internal dashboards, utilities, and command-line workflows that support sales, operations, and leadership. • Serve as the primary builder of internal automation infrastructure. Operations & Process Analytics • Analyze operational bottlenecks and performance trends across production timelines, shipping, and customer response cycles. • Provide insights that directly improve efficiency, speed, and customer experience. Cross-Functional Collaboration • Work closely with leadership and operations teams to identify automation opportunities. • Translate evolving, fast-paced business rules into robust data logic and system behavior. • Document internal processes and maintain reliable technical infrastructure.

Requirements

• Python
• Data Science
• ML Engineering
• ETL Pipelines

Preferred Technologies

• Python
• Data Science
• ML Engineering
• ETL Pipelines

About the company

ITJobCafe, Inc. is a fast-growing consumer products company based in Los Angeles, CA, specializing in innovative solutions and services.