Data Scientist I - TS/SCI Clearance, ML & NLP

Peraton; Laurel (MD); On-site; USD 146,000 - 234,000; Full time

Benefits offered by this job

25 days PTO

Bonus plan

Job summary

Peraton is seeking a Data Scientist to develop machine learning, data mining, and statistical algorithms to analyze datasets, prototype models, and generate data when datasets are unavailable. You will build production-ready analytics and collaborate with SMEs to translate manual analysis into automated workflows.

The role includes creating data visualizations, overseeing analytics efforts, and developing NLP/LLM and descriptive, predictive, and prescriptive analytics while adhering to SDLC

Qualifications

• Bachelor's degree in statistics, mathematics, OR/and computer science with 5+ years analyzing datasets and building analytics in R/Python/SAS/MATLAB.
• An additional 4 years of experience in software/cloud development or analytics can replace the degree.
• Master's degree can substitute for 2 years; PhD can substitute for 4 years.
• Experience using GPU-based resources to accelerate model training and deployment.
• Active TS/SCI clearance with current polygraph is required.

Responsibilities

• Develop ML, data mining, statistical, and graph-based algorithms to analyze datasets.
• Prototype and select final models based on performance metrics.
• Build experiments to generate data when training data is unavailable.
• Create reports and visualizations for data-driven insights for customers.
• Partner with SMEs to automate analytics in analyst workflows.
• Oversee multiple software teams to ensure delivery within SDLC constraints.

Education

Bachelor's degree in quantitative discipline

Master's degree or PhD substitutions (experience-based)

Tools

Python

R

SAS

MATLAB

GPU computing

Job description

Peraton is seeking a Data Scientist to develop machine learning, data mining, and statistical algorithms to analyze datasets, prototype models, and generate data when datasets are unavailable. You will build production-ready analytics and collaborate with SMEs to translate manual analysis into automated workflows.

The role includes creating data visualizations, overseeing analytics efforts, and developing NLP/LLM and descriptive, predictive, and prescriptive analytics while adhering to SDLC