Lead Data Scientist — Cloud Analytics for Global Logistics

SAIC; Shiloh (IL); Vor Ort; USD 150.000 - 210.000; Vollzeit

Zusammenfassung

SAIC seeks a Subject Matter Expert - Data Scientist Lead at Scott AFB, IL to guide advanced analytics and data engineering for USTRANSCOM and the JDPAC V center. This role blends technical leadership with hands-on data science to deliver actionable insights for sustainment supply chains and global distribution.

Responsibilities include leading architectural decisions, migrating pipelines to Palantir and AWS, and building predictive models, dashboards, and decision-support tools.

Qualifikationen

• Active DoD Secret clearance and U.S. Citizenship required.
• 10+ years of data science/advanced analytics (or 8+ years with a Master's).
• Experience with Teradata to cloud migrations.
• Hands-on with AWS/Palantir cloud ecosystems.
• Proficiency in Python for data engineering and ML.
• Experience with BI tools (Power BI / Qlik) and automation (Power Automate).
• Strong leadership and stakeholder communication.

Aufgaben

• Lead technical strategy and guide analytics architecture across DoD sustainment supply chains.
• Migrate legacy workflows from Teradata to Palantir AWS cloud.
• Develop predictive and prescriptive models for global distribution.
• Build dashboards and BI solutions for executive leadership.
• Mentor data science team within agile delivery.

Kenntnisse

SQL proficiency

Python

Machine learning

Operations research

Cloud computing

Data engineering

Leadership

Ausbildung

Bachelor's degree in Data Science / OR / Math / CS

Master's degree (preferred)

Tools

AWS

Palantir Maven

Databricks

Power BI

Power Automate

Jobbeschreibung

SAIC seeks a Subject Matter Expert - Data Scientist Lead at Scott AFB, IL to guide advanced analytics and data engineering for USTRANSCOM and the JDPAC V center. This role blends technical leadership with hands-on data science to deliver actionable insights for sustainment supply chains and global distribution.

Responsibilities include leading architectural decisions, migrating pipelines to Palantir and AWS, and building predictive models, dashboards, and decision-support tools.