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Lead Data Scientist - Automotive Logistics AWS Cloud - InnoCore Solutions, Inc.
Data Scientist
Lead data science initiatives for automotive logistics, building AI‑driven demand forecasting models on AWS. Drive end‑to‑end ML pipelines, improve supply chain visibility, and deliver actionable insights to optimize inventory and fulfillment.
About the role
Key Responsibilities
- Architect, develop, and deploy production‑grade machine learning models for demand forecasting across vehicle and parts supply chains.
- Implement MLOps workflows using AWS services (SageMaker, Lambda, Step Functions) to automate model training, validation, and deployment.
- Collaborate with data engineering and domain experts to ingest, clean, and transform large time‑series datasets.
- Design and maintain model monitoring dashboards, ensuring accuracy, drift detection, and continuous improvement.
- Translate business requirements into technical solutions, presenting findings to stakeholders and guiding data‑driven decision making.
Requirements
- 5+ years of experience in data science or ML engineering, preferably in logistics or supply‑chain domains.
- Proficiency in Python, SQL, and AWS ML services (SageMaker, Glue, Athena).
- Strong background in time‑series analysis, regression modeling, and feature engineering.
- Hands‑on experience with MLOps practices: CI/CD, model versioning, and automated testing.
- Excellent communication skills and ability to translate complex analytics into actionable insights.
Skills
pythonmachine learningawsmlops