AI/ML Data Scientist

Company: TalentHop

Location: Location not specified (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-09-21

About this role

This is a Fully Remote Job

About Our Client:

The organization operates in the defense and government technology sector, focusing on providing advanced data analytics and artificial intelligence/machine learning (AI/ML) solutions to support mission-critical operations. It addresses challenges related to leveraging data science and AI technologies to meet the operational and business needs of a federal maritime service, enhancing decision-making and operational efficiency.

About the Opportunity:

The AI/ML DATA SCIENTIST role contributes to the development and implementation of AI and data analytics solutions that support mission and business functions. This position aids in discovering use cases, assessing data readiness, building prototypes, and piloting models, working closely with multidisciplinary teams. The role is essential in advancing AI/ML applications that improve operational outcomes and decision advantages.

Responsibilities:

  • Support design, development, testing, and evaluation of AI/ML solutions for mission and business operations.
  • Assist in predictive, classification, anomaly detection, natural language processing, generative AI, and other analytical solution development.
  • Contribute to training, tuning, validation, and documentation of machine learning models.
  • Support AI-enabled MVPs, technical demonstrations, automation pilots, and rapid experimentation.
  • Research and assess commercial, government, and open-source AI/ML models and tools.
  • Conduct exploratory data analysis with structured and unstructured datasets.
  • Identify trends, patterns, anomalies, and insights to aid decision-making.
  • Assist in developing model baselines, performance measures, acceptance criteria, and testing methods.
  • Evaluate model accuracy, reliability, limitations, and operational suitability.
  • Develop dashboards, visualizations, and analytical summaries.
  • Follow established data science methods and team best practices.
  • Support data readine...

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