Senior Data Scientist: Remote AI for Supply Chain

Pursuit Aerospace; Northern (KY); Remote; USD 116.000 - 174.000; Vollzeit

Benefits dieser Stelle

Health & disability insurance

401(k) match

Flexible spending accounts

Paid time off

Company-paid holidays

Zusammenfassung

Pursuit Aerospace is seeking a Senior Data Scientist to design and deploy ML solutions for SIOP transformation, inventory optimization, and on-time delivery improvements. You’ll work remotely in the U.S.

with 10–20% travel, framing problems, shaping data, building models, and delivering end-to-end analytics and AI-powered tools. Ideal applicants have 4+ years in data science, strong SQL/Python, and experience with time-series forecasting, production-ready data products, and cloud platforms.

Qualifikationen

• 4+ years in a data science role solving complex business problems.
• 4+ years using SQL and Python for data analysis and solution development.
• 4+ years experience developing ML, forecasting, or time-series models.
• Authorized to work in the U.S. on a full-time basis without sponsorship.

Aufgaben

• Develop ML, forecasting, and time-series models for operational issues.
• Build analytics and AI solutions to support SIOP transformation.
• Create dashboards and tools translating data into business impact.
• Collaborate with stakeholders to deploy production-ready data products.

Kenntnisse

SQL

Python

Time-series modeling

Machine learning

Ausbildung

Bachelor’s degree in data science, CS, statistics, math, engineering, or related field

Master’s degree in quantitative/technical field

Tools

Snowflake

AWS

Azure data platform

GitHub

Jobbeschreibung

Pursuit Aerospace is seeking a Senior Data Scientist to design and deploy ML solutions for SIOP transformation, inventory optimization, and on-time delivery improvements. You’ll work remotely in the U.S.

with 10–20% travel, framing problems, shaping data, building models, and delivering end-to-end analytics and AI-powered tools. Ideal applicants have 4+ years in data science, strong SQL/Python, and experience with time-series forecasting, production-ready data products, and cloud platforms.