Data Scientist - Supply Chain Analytics & GenAI

Realign Llc; Seattle (WA); On-site; USD 120,000 - 155,000; Full time

Job summary

Realign Llc in Seattle, WA seeks a Data Scientist specialized in Supply Chain Analytics to translate data into actionable insights across MRO processes. You will work with AWS, Python, and GenAI to build models, dashboards, and automated workflows.

The role emphasizes collaboration with stakeholders, development and validation of models, and deployment with monitoring, governance, and security. This full-time position offers growth in a dynamic logistics-focused environment.

Qualifications

• Experience applying analytics to business problems.
• Develop, test, and validate ML models from historical data.
• Knowledge of MRO, inventory, procurement, and logistics beneficial.
• Experience with unstructured data processing and NLP.
• Deploy automation and maintain runbooks for models and cloud assets.
• Ensure security, governance, monitoring, and alerts.

Responsibilities

• Collaborate with stakeholders to understand MRO process flow.
• Gather actionable insights into the maintenance and overhaul operations.
• Analyze data to optimize speed and quality of service.
• Incorporate models into a broader application driving business actions.
• Develop algorithms for financial data processing and reporting.
• Validate reports against manual equivalents.
• Develop and test ML models and NLP/GenAI components.
• Follow Agile practices for project delivery.
• Handover documentation and provide training.

Skills

AWS services

AI/ML modeling

Data modeling

Data engineering

Data analytics

Tableau

Azure DevOps

Python

NLP

Generative AI

Agentic AI frameworks

Machine learning modeling

Model deployment

Runbooks

Cloud monitoring

Testing & validation

Tools

Sagemaker

Glue

Lambda

S3

Redshift

CloudWatch

SNS

Job description

Realign Llc in Seattle, WA seeks a Data Scientist specialized in Supply Chain Analytics to translate data into actionable insights across MRO processes. You will work with AWS, Python, and GenAI to build models, dashboards, and automated workflows.

The role emphasizes collaboration with stakeholders, development and validation of models, and deployment with monitoring, governance, and security. This full-time position offers growth in a dynamic logistics-focused environment.