Mission-Critical Data Scientist — ML & NLP

All Native Group, The Federal Services Division of Ho-Chunk Inc.; Washington (District of Columbia); On-site; USD 120,000 - 155,000; Full time

Job summary

All Native Group, a division of Ho Chunk Incorporated, seeks a Data Scientist to support a Federal Agency enterprise data management and analytics program. The role involves developing and refining machine learning and AI models, applying NLP to unstructured data, and delivering actionable analytics within an Agile team.

Responsibilities include enhancing entity extraction, preparing data for modeling, and creating visualizations for diverse stakeholders.

Qualifications

• 5+ years with at least one analytical language (Python, R, or SQL).
• 2+ years training ML/AI models including NLP on unstructured data.
• 3+ years SQL database experience.
• 2+ years data visualization experience.
• Experience in Agile development environments.
• Federal law enforcement or mission-focused data program experience is a plus.

Responsibilities

• Develop, train, and evaluate custom ML/AI models (supervised and unsupervised).
• Apply NLP techniques to extract, enrich, and analyze unstructured data.
• Improve entity extraction processes with new entities and models.
• Evaluate data holdings and develop enrichment models to advance analytics.
• Prepare structured and unstructured data for modeling and analysis.
• Build data visualizations communicating findings to technical and non-technical stakeholders.
• Collaborate within an Agile delivery team, participating in sprint planning and reviews.

Skills

Python

ML/AI modelling

SQL

NLP

Unstructured data handling

Data visualization

Agile methodology

Experience with federal data programs

Education

Bachelor's degree in data science or related quantitative field

Tools

SQL Database

NLP libraries

Job description

All Native Group, a division of Ho Chunk Incorporated, seeks a Data Scientist to support a Federal Agency enterprise data management and analytics program. The role involves developing and refining machine learning and AI models, applying NLP to unstructured data, and delivering actionable analytics within an Agile team.

Responsibilities include enhancing entity extraction, preparing data for modeling, and creating visualizations for diverse stakeholders.