Applied AI Engineer & Data Specialist (Decision

Intelligence)

Open Positions: 5

Role Overview

This role focuses on transforming raw retail signals into intelligent, continuously learning decision

systems. The position ensures that field-level data evolves into structured intelligence, driving

real-time and long-term business decisions.

Key Responsibilities

• Build demand forecasting pipelines leveraging real-time and historical data

• Design and implement decision policies for pricing, buying, and working capital optimization

• Develop optimization and inference loops for continuous decision improvement

• Create event pipelines from Shop OS and related systems

• Build and maintain feature stores for scalable ML systems

• Enable feedback ingestion pipelines for continuous model tuning and improvement

Expected Outcomes

• Improved buying decisions and pricing strategies

• Optimized working capital turns

• Transformation of field behavior into reusable intelligence systems

Required Experience

• Experience in real-time analytics and streaming systems

• Hands-on experience deploying applied machine learning systems in production environments

(not research-only)

Core Skills

• Kafka, Spark, Databricks• Data contracts and pipeline reliability

• Observability pipelines and monitoring

• Python for data and ML workflows

• Tableau / Looker Studio / Google Analytics

• Feature engineering and feature pipelines

• Real-time inference systems

• Experimentation frameworks (A/B testing, evaluation systems)