Data Scientist (AI/ML)

Job Summary:

We are seeking a skilled and innovative AI/ML Data Scientist to join our Fulfillment Data Platform (FDP) team. You will play a critical role in building scalable, near real-time, AI-driven solutions that enhance operational intelligence and predictive analytics in the fulfillment services industry. Your expertise will directly impact how we optimize order fulfillment, smart batching, dynamic capacity, and anomaly detection across stores, distribution, and fulfillment centers.

Key Responsibilities:

• Design, develop, and deploy AI/ML models to support dynamic batching, order forecasting, anomaly detection, and smart capacity planning in fulfillment operations.
• Lead development of advanced analytics solutions to optimize smart batching, dynamic capacity allocation, and algorithm-driven decision-making in supply chain fulfillment.
• Create synthetic data generation frameworks for robust testing and validation of data pipelines and machine learning models.
• Build and implement anomaly detection systems to ensure data quality and integrity across the Fulfillment Data Platform.
• Collaborate with data engineers and platform architects to integrate machine learning solutions into streaming and batch data pipelines.
• Drive the operationalization of AI/ML models for real-time and near real-time applications using cloud-native technologies.
• Support the delivery of data platform notifications and monitoring systems to proactively alert on operational issues or data anomalies.
• Develop analytics to improve operational intelligence and data quality notifications.
• Support scalable, cloud-native AI applications for near real-time fulfillment data.

Required Qualifications

• Expertise in AI/ML for dynamic batching, anomaly detection, and order forecasting.
• Strong programming skills in Python or similar with ML frameworks (TensorFlow, PyTorch).
• Experience with streaming data platforms (Kafka, Spark) and cloud environments (AWS, Azure, GCP).
• Ability to work with large datasets, synthetic data creation, and data quality assurance.
• Knowledge of supply chain, fulfillment, or logistics domains preferred.

Required Education or Certifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, or related fields.
• Prior experience in SCM, fulfillment, eCommerce, or retail industry analytics.
• Familiarity with metadata management, data governance, and data lineage concepts.
• Experience with containerization (Docker, Kubernetes) and CI/CD for ML model deployment.
• Knowledge of API development and integration for data platforms.