Remote Data Scientist - Supply Chain Analytics & AI

Pursuit Aerospace; Northern (KY); Remote; USD 82,000 - 123,000; Full time

Benefits offered by this job

Health insurance

401(k) match

Paid time off

Disability insurance

Job summary

Pursuit Aerospace, a global aircraft engine components manufacturer, is seeking a Data Scientist to develop data, analytics, and AI solutions for SIOP transformation. You will frame supply chain problems, prepare data, build models, and translate results into dashboards and tools that drive measurable improvements in inventory and customer service.

This early-career role offers growth in modern cloud tech (Snowflake/AWS/Azure/GCP), collaboration with cross-functional teams, and exposure to

Qualifications

• 1+ years of data science/analytics experience using SQL or Python for data analysis or solution development.
• Authorized to work in the U.S. full-time without sponsorship now or in the future.
• Must be able to work subject to ITAR/EAR regulations.

Responsibilities

• Develop ML, forecasting, and time-series models with guidance from senior teammates.
• Support analytics for inventory optimization, demand forecasting, on-time delivery, and cost reduction.
• Translate data findings into dashboards and decision-ready insights for stakeholders.
• Collaborate across Product, Engineering, Operations, and Supply Chain to deliver practical analytical solutions.

Skills

SQL

Python

Data modeling

Machine learning

Forecasting

Education

Bachelor's degree in data science or related

Tools

Snowflake

AWS

Azure

GCP

Spark

Job description

Pursuit Aerospace, a global aircraft engine components manufacturer, is seeking a Data Scientist to develop data, analytics, and AI solutions for SIOP transformation. You will frame supply chain problems, prepare data, build models, and translate results into dashboards and tools that drive measurable improvements in inventory and customer service.

This early-career role offers growth in modern cloud tech (Snowflake/AWS/Azure/GCP), collaboration with cross-functional teams, and exposure to