Data Scientist - Supply Chain Analytics

DataJobs; Seattle (WA); On-site; USD 121,000 - 164,000; Full time

Job summary

Realign LLC in Seattle, WA is hiring a Data Scientist - Supply Chain Analytics for an onsite role to analyze and optimize MRO and part supply chain processes using AWS-based data modeling, machine learning, and NLP/GenAI. You will build and deploy predictive solutions that turn data into actionable outputs for business and operations stakeholders.

Responsibilities include collaborating with stakeholders, developing ML models, validating reports, and implementing secure, scalable data ingestion

Qualifications

• Experience with AWS-based data modeling and ML.
• Proficiency in NLP and GenAI frameworks.
• Strong Python or other programming language experience.
• Experience with MRO or supply chain analytics is a plus.

Responsibilities

• Collaborate with stakeholders to understand the current MRO process flow and gather requirements.
• Analyze maintenance, repair, and overhaul data to identify optimization opportunities that improve service speed and quality.
• Develop and test machine learning models to predict issues for future operations based on historical analysis.
• Validate report outputs by comparing generated reports against human-written reports.
• Detect data trends such as when the last buyer updated records to identify potentially stale, complete, cancelled, and/or erroneous records.
• Incorporate models into a broader application to drive actions by business and operations stakeholders.
• Build ingestion and modeling patterns, including developing new data ingestion patterns using existing frameworks.
• Make model outputs available for consumption by applications and self-service.
• Implement security, governance, monitoring, alerting, and job orchestration as defined by ARB.
• Deploy ingestion pipelines to dev, pre, and production environments.
• Set up monitoring, logging, and alerting mechanisms (for example CloudWatch and SNS).
• Conduct unit testing, integration testing, functional, and non-functional testing, then validate data and developed models.
• Document runbook details, including cloud and code assets, and support handover with a training session.

Job description

Realign LLC is hiring a Data Scientist - Supply Chain Analytics for an onsite role in Seattle, WA. In this position, you will help analyze and optimize MRO (maintenance, repair, and overhaul) and part supply chain processes using AWS-based data modeling, machine learning, and NLP/GenAI. You’ll build and deploy predictive solutions that turn data into actionable outputs for business and operations stakeholders.

What you’ll do

• Collaborate with stakeholders to understand the current MRO process flow and gather requirements.
• Analyze maintenance, repair, and overhaul data to identify optimization opportunities that improve service speed and quality.
• Develop and test machine learning models to predict issues for future operations based on historical analysis.
• Validate report outputs by comparing generated reports against human-written reports.
• Detect data trends such as when the last buyer updated records to identify potentially stale, complete, cancelled, and/or erroneous records.
• Incorporate models into a broader application to drive actions by business and operations stakeholders.
• Build ingestion and modeling patterns, including developing new data ingestion patterns using existing frameworks.
• Make model outputs available for consumption by applications and self-service.
• Implement security, governance, monitoring, alerting, and job orchestration as defined by ARB.
• Deploy ingestion pipelines to dev, pre, and production environments.
• Set up monitoring, logging, and alerting mechanisms (for example CloudWatch and SNS).
• Conduct unit testing, integration testing, functional, and non-functional testing, then validate data and developed models.
• Document runbook details, including cloud and code assets, and support handover with a training session.

Modeling and analytics focus

• Apply advanced analytics, including an algorithmic framework to process financial data and generate structured reports.
• Use NLP/GenAI capabilities, including an algorithmic framework to process and derive insights from unstructured constraint notes data.
• Publish model performance metrics including accuracy, precision, recall, F1-Score, MSE, and R-squared.
• Follow Agile standards for proposal development, including reviews, frequent stakeholder communication, and project planning with milestones and deliverables.
• Develop modular code that passes static and dynamic Info-sec vulnerability scans, and automate solution updates such as deployments, certificate updates, infrastructure changes, code changes, and failure notifications.

What you bring

• AWS proficiency across AI/ML modeling, data modeling, data engineering, and data analytics; experience with Tableau and Azure DevOps for project management.
• Strong Python and/or other programming language experience.
• Ability to perform data analysis on MRO process trends and part supply chain bottlenecks.
• Experience with unstructured data processing and NLP.
• Experience with generative-ai and agentic AI frameworks.
• Experience applying analytics to business problems.
• Supply chain domain knowledge including inventory management, procurement, and logistics.

Tools and technologies

• AWS services: Amazon SageMaker, Glue, Lambda, S3, Redshift, CloudWatch, SNS
• Platforms: Tableau, Azure DevOps
• Skills: AI/ML modeling, data modeling, data engineering, data analytics, Python, NLP, generative-ai, agentic AI frameworks

Compensation: USD 142,810 per year.