Remote Data Scientist — AI/ML for Government IT

Koniag Government Services; Nashville (TN); Remote; USD 110,000 - 170,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(k)

PTO

Parental Leave

Life Insurance

Disability Insurance

Flexible Spending Accounts

Commuter Benefits

Tuition Reimbursement

Job summary

Koniag Government Services is seeking a Data Scientist to design, deploy, and refine advanced data science and ML solutions for our IT Call Center serving government clients. You will build predictive analytics, NLP insights, and model deployments in a remote, collaborative environment.

Work with AWS practitioners and stakeholders to deliver actionable intelligence, validate models, and ensure compliance with federal security and privacy requirements while driving operational improvements and

Qualifications

• Master's degree in a quantitative field or equivalent experience.
• 4+ years designing and deploying ML models in a structured environment.
• Proficiency with Python, NLP, and cloud ML platforms (AWS SageMaker).

Responsibilities

• Lead end-to-end development of ML solutions addressing IT Call Center ops.
• Design NLP and text analytics for transcripts, tickets, chats, and feedback.
• Develop and maintain ML pipelines and MLOps practices.
• Collaborate with AWS practitioners and stakeholders on data science opportunities.
• Translate model outputs into actionable insights for leadership.

Skills

Python

Machine Learning

AWS SageMaker

NLP

Data Visualization

SQL

Remote Work

Communication

Education

Master's degree in Data Science/Statistics/Math/CS/ML

PhD (preferred)

Tools

NumPy

Pandas

TensorFlow/PyTorch

NLTK/SpaCy

SQL/NoSQL

Job description

Koniag Government Services is seeking a Data Scientist to design, deploy, and refine advanced data science and ML solutions for our IT Call Center serving government clients. You will build predictive analytics, NLP insights, and model deployments in a remote, collaborative environment.

Work with AWS practitioners and stakeholders to deliver actionable intelligence, validate models, and ensure compliance with federal security and privacy requirements while driving operational improvements and