Senior Data Scientist with Secret Clearance

Booker DiMaio, LLC
Fort Lee, VA, United States
17 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Data Analysis Microsoft Azure Big Data Cloud Computing Decision Support Systems Machine Learning Natural Language Processing Azure Machine Learning Software Engineering Generative AI SC Clearance
+1 more
Databricks

Job description

We are seeking a Senior Data Scientist to support a U.S. Army enterprise analytics and AI initiative. The successful candidate will provide advanced data science and AI/ML expertise supporting sustainment analytics, predictive modeling, decision support, and AI-enabled solutions., + Develop and implement AI/ML models using Army enterprise and sustainment data.

  • Apply advanced analytical techniques including forecasting, anomaly detection, NLP, GenAI, optimization, and predictive analytics.

  • Support predictive models involving equipment readiness, maintenance and breakdown forecasting, fleet management, supply forecasting, and related sustainment use cases.

  • Contribute to AI-enabled analytical models, decision dashboards, and business intelligence solutions.

  • Support integration of additional enterprise systems and data sources into the Army’s Sustainment Enterprise Analytics environment.

  • Collaborate with data, cloud, architecture, and application development personnel to deliver integrated analytics and AI capabilities.

  • Validate analytical models and results with government data subject-matter experts and capability developers.

  • Participate in daily status updates, coordination sessions, development meetings, and technical discussions with Army stakeholders.

Requirements

10 or more years o f experience i s required., + 10+ years of professional data science experience.

  • Strong Artificial Intelligence / Machine Learning (AI/ML) background.

  • Demonstrated experience with:

  • Forecasting and predictive analytics

  • Anomaly detection

  • Natural Language Processing (NLP)

  • Generative AI (GenAI)

  • Optimization

  • Experience developing and implementing AI/ML models.

  • Experience with Azure Machine Learning and/or Databricks.

  • U.S. Army, DoD, or federal government experience.

  • Experience working with complex datasets and applying advanced analytics to support mission or business decisions.

Preferred Qualifications

  • Army sustainment, logistics, or readiness experience.

  • Experience with GCSS-Army, G4, NLAC, or other Army sustainment systems or data.

  • Experience with Azure Government or other government cloud environments.

  • Experience supporting predictive analytics involving equipment readiness, maintenance, fleet management, or supply forecasting.

  • Microsoft or other relevant AI/ML certifications.

  • Security+, DoD 8570/8140-related certifications, or other relevant cybersecurity credentials.

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