Federal Data Scientist: ML, NLP & MLOps (Remote/Hybrid)

Spatial Front, Inc; Arlington (VA); Hybrid; USD 90,000 - 120,000; Full time

Job summary

A leading analytics firm based in Virginia is seeking a Data Scientist to support federal programs. The ideal candidate will develop advanced analytical models and machine learning solutions. Responsibilities include deploying ML models, performing exploratory data analysis, and collaborating with data engineers. Applicants should have a Bachelor's degree in a relevant field with experience in data analysis and must possess an active Secret security clearance or be able to obtain one. The role offers flexibility in the work environment.

Qualifications

• 3 years of data analysis experience, 1 year in machine learning.
• Demonstrated expertise in statistical analysis and predictive modeling.
• Active Secret security clearance or ability to obtain one.

Responsibilities

• Develop and deploy machine-learning models to address analytical challenges.
• Perform exploratory data analysis to identify patterns and anomalies.
• Collaborate with data engineers for data preparation and transformation.

Skills

Statistical analysis

Machine learning

Python

Data visualization

Predictive modeling

Education

Bachelor’s in Statistics, Mathematics, Computer Science, or related field

Master’s degree preferred

Tools

PowerBI

Kibana

Oracle RDBMS 19c

scikit-learn

TensorFlow

PyTorch

AWS AI toolkit

Job description

A leading analytics firm based in Virginia is seeking a Data Scientist to support federal programs. The ideal candidate will develop advanced analytical models and machine learning solutions. Responsibilities include deploying ML models, performing exploratory data analysis, and collaborating with data engineers. Applicants should have a Bachelor's degree in a relevant field with experience in data analysis and must possess an active Secret security clearance or be able to obtain one. The role offers flexibility in the work environment.