Junior Data Scientist - NLP/ML for Federal Analytics (Flexible Hours)

VetJobs; Arlington (VA); On-site; USD 70,000 - 95,000; Full time

Job summary

All Native Group, a division of Ho Chunk Incorporated, is seeking a Junior Data Scientist to support a Federal Agency enterprise data management and analytics program. The role emphasizes building ML models, NLP on unstructured data, and data preparation in a federal mission environment.

This is proposed work with contingencies upon award. Ideal candidates will work within an Agile team to deliver analytics, data visualizations, and model improvements, applying skills in Python/R/SQL and data

Qualifications

• Bachelor’s degree in data science or a related quantitative field with NLP or ML coursework.
• Experience with NLP and machine learning.
• Experience with structured and unstructured data.

Responsibilities

• Develop, train, and evaluate custom machine learning and AI models, including supervised and unsupervised approaches.
• Apply NLP techniques to extract, enrich, and analyze unstructured data.
• Improve and expand existing entity extraction processes to improve analytic outcomes.
• Evaluate enterprise data holdings and develop models to enrich data for mission outcomes.
• Manipulate, cleanse, and prepare structured and unstructured data for model development and analysis.
• Build data visualizations that communicate analytic findings to technical and non-technical stakeholders.
• Collaborate within an Agile delivery team, participating in sprint planning and reviews.

Skills

Python/R/SQL

ML concepts

Structured/unstructured data

Data visualization

Agile teamwork

Education

Bachelor's degree in data science or related field

Job description

All Native Group, a division of Ho Chunk Incorporated, is seeking a Junior Data Scientist to support a Federal Agency enterprise data management and analytics program. The role emphasizes building ML models, NLP on unstructured data, and data preparation in a federal mission environment.

This is proposed work with contingencies upon award. Ideal candidates will work within an Agile team to deliver analytics, data visualizations, and model improvements, applying skills in Python/R/SQL and data