Mission-Driven Data Scientist Advisor

Maximus Federal

Coronado (CA)

Vor Ort

USD 130.000 - 180.000

Vollzeit

Vor 5 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

Maximus Federal seeks a Data Scientist Advisor to advance data-driven decision making for Special Operations Forces, integrating human performance data and analytics. You will collaborate across disciplines to design experiments, build model-ready data, and deliver insights that inform mission readiness and resilience.

A security clearance and US citizenship are required. The role involves hands-on analysis, NLP, ML, and feature engineering within an integrated human performance team, supporting

Qualifikationen

  • B.S. or B.A. in a technical field required.
  • 5+ years ML/deep learning experience with major frameworks.
  • 5+ years data engineering on modern big data architectures in the cloud.
  • 5+ years programming in Python, Scala, or Julia.
  • Strong communication and leadership capabilities.

Aufgaben

  • Perform hands-on data analysis and modeling on large data sets.
  • Apply ML, NLP, and ML techniques to improve personalization algorithms.
  • Collaborate with product managers, software engineers, and designers on experiments and MVPs.
  • Discover data sources, access them, clean them, and make them model-ready.
  • Create and refine features from underlying data.
  • Run A/B tests and communicate results to peers and leaders.

Kenntnisse

Python
Scala
Julia
SQL
Cloud analytics

Ausbildung

Bachelor’s degree in technical field
Advanced degree in related field

Tools

Hadoop
Hive
Spark
Snowflake
AWS
Azure
Google Cloud
Databricks

Jobbeschreibung

Maximus Federal seeks a Data Scientist Advisor to advance data-driven decision making for Special Operations Forces, integrating human performance data and analytics. You will collaborate across disciplines to design experiments, build model-ready data, and deliver insights that inform mission readiness and resilience.

A security clearance and US citizenship are required. The role involves hands-on analysis, NLP, ML, and feature engineering within an integrated human performance team, supporting

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