Junior Data Scientist — ML & NLP (Flexible Hours)

All Native Group, The Federal Services Division of Ho-Chunk Inc.; Arlington (VA); On-site; USD 65,000 - 95,000; Full time

Job summary

All Native Group, a division of Ho Chunk Incorporated, seeks a Junior Data Scientist to support a Federal Agency enterprise data management and analytics program. You will help develop ML models, prepare data, and apply NLP to unstructured datasets in a mission-driven environment.

Ideal candidates have 2+ years with Python/R/SQL, familiarity with ML concepts, and experience handling structured and unstructured data.

Qualifications

• Bachelor’s degree in data science or related quantitative field with NLP or machine learning coursework.
• 2+ years of experience with Python, R, or SQL in an analytical or statistical context.
• Experience working with structured and unstructured data.
• Familiarity with data visualization tools.
• Ability to work collaboratively in an Agile development environment.

Responsibilities

• Develop, train, and evaluate ML/AI models, including supervised and unsupervised approaches.
• Apply NLP techniques to extract, enrich, and analyze unstructured data.
• Improve entity extraction processes with new models to enhance analytics.
• Evaluate data holdings and develop models to enrich data toward mission advantage.
• Manipulate, cleanse, and prepare structured and unstructured data for modeling.
• Build data visualizations that communicate analytic findings to stakeholders.
• Collaborate within an Agile delivery team, participating in sprints.

Skills

Python

R

SQL

Machine Learning

NLP

Data Visualization

Agile

Education

Bachelor’s degree in data science or related quantitative field

Job description

All Native Group, a division of Ho Chunk Incorporated, seeks a Junior Data Scientist to support a Federal Agency enterprise data management and analytics program. You will help develop ML models, prepare data, and apply NLP to unstructured datasets in a mission-driven environment.

Ideal candidates have 2+ years with Python/R/SQL, familiarity with ML concepts, and experience handling structured and unstructured data.