Data Scientist

Fuse Engineering; Fort Meade (MD); On-site; USD 80,000 - 100,000; Full time

Job summary

Fuse Engineering is looking for a Data Scientist to support NLP projects and improve language data models. The ideal candidate will have a Bachelor's degree in Mathematics or related fields and experience with machine learning and statistical analysis. This full-time position is entry-level, offering a unique opportunity to contribute to exciting AI-driven initiatives within a leading IT consulting firm.

Qualifications

• Bachelor's Degree with significant coursework in Mathematics or Computer Science.
• Experience in machine learning and programming in Python.
• Familiarity with statistical analysis and AI concepts.

Responsibilities

• Develop automated solutions for language data annotation.
• Support NLP projects for tokenizing language data.
• Score model performance against human-generated annotations.

Skills

Mathematical foundations

Statistical analysis

Machine learning

Programming in Python

Education

Bachelor's Degree in Mathematics or related fields

Job description

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Description

Support for NLP project to accurately and automatically tokenize language data with spoken or written origins; develop automated solutions for the annotation of language data with parts of speech information, and improve existing models by scoring performance against human-generated annotations for speech and text.

Requirements

Clearance Required: Top Secret SCI w/ Full Polygraph

Bachelor's Degree in Mathematics, Applied Mathematics, Statistics, Machine Learning, Data Science, Operations Research, Computer Science, or related fields (such as Computer Information Systems, Engineering), or in physical/hard sciences (physics, chemistry, biology, astronomy) with significant coursework (5+ courses) in advanced Mathematics (linear algebra, probability, statistics, machine learning) and/or computer science (algorithms, programming, data structures, data mining, AI). College-level or basic math courses do not qualify.

Must have experience in at least two of the following areas:

• Mathematical, Computational, Statistical foundations
• Designing/implementing machine learning, data science, analytical algorithms
• Programming in high-level languages (e.g., Python)
• Statistical analysis, data management, data mining, data modeling
• Artificial intelligence, software engineering

Additional Details

Seniority level: Entry level

Employment type: Full-time

Job function: Engineering and Information Technology

Industries: IT Services and IT Consulting

Note: The job postings for this role are outdated; current openings may no longer be available.